Who Hit Whom matrix (normalized to annual figures)

Who hit whom matrix for all scenarios for each case study

Who hit whom matrix of each case study (by baseline + scenarios)

Antofagasta

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Arica

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Belo Horizonte

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bogota

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Buenos Aires

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cali

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Copiapo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Coquimbo Laserena

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Gran Valparaiso

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Iquique Altohospicio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Medellin

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Mexico City

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Montevideo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Osorno

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Puerto Montt

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

San Antonio

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Santiago

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Sao Paulo

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Temuco Padrelascasas

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Valdivia

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Accra

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Bangalore

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Cape Town

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Delhi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Vizag

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Kisumu

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Nairobi

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Port Louis

[1] NA

Baseline mean WHW

Bicycling mean WHW

Car mean WHW

Public Transport mean WHW

Motorcycling mean WHW

[1] “ub”

Baseline ub WHW

Bicycling ub WHW

Car ub WHW

Public Transport ub WHW

Motorcycling ub WHW

[1] “lb”

Baseline lb WHW

Bicycling lb WHW

Car lb WHW

Public Transport lb WHW

Motorcycling lb WHW

Who hit whom matrix for all case cities

Baseline_predicted scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Bicycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Car scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Public Transport scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Motorcycling scenario

Casualty mode: Auto_rickshaw

Casualty mode: Bus

Casualty mode: Car

Casualty mode: Cycle

Casualty mode: Motorcycle

Casualty mode: Other

Casualty mode: Pedestrian

Casualty mode: Rail

Casualty mode: Truck

Baseline scenario

Casualty mode: Pedestrian

Casualty mode: Car

Casualty mode: Motorcycle

Casualty mode: Truck

Casualty mode: Cycle

Casualty mode: Bus

Casualty mode: Other

Casualty mode: Rail

Casualty mode: Auto_rickshaw

Change in deaths due to injury per billion km

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.9845 1.3744898 2.9881 1.329415 3.0348 1.2235283 2.9335 1.6059306 3.0308 1.2797629
car 17.4095 9.6214286 17.4535 9.333034 16.2659 10.2877078 17.9003 8.3687271 17.5445 8.9148168
cycle 95.3573 0.2290816 28.1079 1.291047 100.2637 0.2220374 90.1090 0.1957029 89.7748 0.2095391
motorcycle 187.7058 2.2908163 188.1384 2.129625 193.4303 2.1854170 183.9157 2.1322178 108.8457 11.5242894
pedestrian 112.1353 5.0397959 110.6560 4.653167 119.1532 5.0922095 104.5004 5.0027015 107.4652 4.6674370
truck 11.0045 2.2908163 10.9769 2.285086 11.0630 2.3030142 10.9044 2.2699869 10.9421 2.2778277
active_travel 111.2840 5.2688776 67.5613 5.944215 118.2226 5.3142468 103.8758 5.1984044 106.5630 4.8769761

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 9.8809 4.550505 9.9004 4.404798 10.0502 4.051881 9.7099 5.315678 10.0294 4.234885
car 50.6024 27.965527 50.6914 27.106510 47.1692 29.833183 52.3000 24.451307 50.9456 25.886786
cycle 888.0340 2.133369 282.1092 12.957772 936.3195 2.073510 841.3604 1.827306 838.0472 1.956046
motorcycle 724.9581 8.847600 729.0842 8.252838 749.1152 8.463663 707.5757 8.203247 412.0637 43.628208
pedestrian 392.5462 17.642547 388.5777 16.339973 415.3423 17.750344 367.5836 17.597177 377.3066 16.387212
truck 40.9377 8.522066 40.6615 8.464572 41.4941 8.637902 39.9838 8.323500 40.3110 8.391605
active_travel 417.6873 19.775915 332.9952 29.297745 441.0084 19.823855 388.1448 19.424484 400.8042 18.343259

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9216 0.4244391 0.9219 0.4101792 0.9367 0.3776440 0.9051 0.4955121 0.9364 0.3954108
car 6.4286 3.5527551 6.4490 3.4485130 6.0169 3.8055048 6.5819 3.0771824 6.4825 3.2939299
cycle 10.4410 0.0250829 2.9117 0.1337377 10.9580 0.0242668 9.8449 0.0213816 9.8124 0.0229027
motorcycle 52.2512 0.6376895 52.2577 0.5915286 53.8379 0.6082724 51.2522 0.5941896 30.2446 3.2022197
pedestrian 36.1848 1.6262828 35.6247 1.4980453 38.6394 1.6513169 33.5245 1.6049034 34.5965 1.5025987
truck 3.4466 0.7174856 3.4437 0.7168730 3.4532 0.7188490 3.4355 0.7151643 3.4399 0.7160987
active_travel 34.8785 1.6513657 18.5467 1.6317830 37.2756 1.6755837 32.4968 1.6262851 33.3325 1.5255014

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.6000 0.4581633 3.5855 0.4325353 3.8364 0.3789923 3.2363 0.6014572 3.6026 0.3923871
car 34.5337 9.3923469 34.7856 8.9614836 30.4592 9.9573435 35.6327 8.1480211 34.6999 8.5467800
cycle 108.2140 1.1454082 70.0148 2.8491939 114.1064 1.1161088 104.4493 0.9982593 104.1144 1.0111999
motorcycle 236.8521 2.0617347 236.5323 1.9257213 243.2487 1.9193365 232.2045 1.9674802 167.7497 11.6109320
pedestrian 290.7021 10.5377551 285.8927 9.8409309 303.3322 10.4496418 268.9984 10.2317962 274.7851 9.7187191
truck 22.8131 2.5198980 22.7385 2.5116617 22.8800 2.5272939 22.6651 2.5035506 22.6617 2.5031723
active_travel 249.4591 11.6831633 168.9405 12.6901248 261.4864 11.5657506 235.9553 11.2300555 238.0151 10.7299190

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 27.0522 3.442837 26.9443 3.250450 28.8394 2.849026 24.3087 4.517679 27.0770 2.949157
car 56.2980 15.311702 56.6576 14.596174 49.4080 16.151838 58.7232 13.428068 56.4190 13.896301
cycle 289.6192 3.065521 187.5067 7.630426 303.7830 2.971392 283.0737 2.705437 278.8265 2.708073
motorcycle 633.5126 5.514559 632.2543 5.147481 650.3646 5.131655 622.5742 5.275102 441.6721 30.570694
pedestrian 512.3649 18.572879 505.2946 17.393133 528.5061 18.206769 486.6839 18.511821 487.0537 17.226331
truck 54.9626 6.071087 54.3948 6.008372 55.4235 6.122001 53.9408 5.958224 53.8028 5.942973
active_travel 462.0235 21.638400 333.1326 25.023559 478.8103 21.178161 445.7969 21.217258 442.1924 19.934404

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4796 0.0610374 0.4776 0.0576201 0.5109 0.0504714 0.4313 0.0801609 0.4799 0.0522651
car 22.0532 5.9979400 22.2255 5.7257577 19.5171 6.3802803 22.5860 5.1646634 22.1948 5.4666925
cycle 40.8371 0.4322473 26.4042 1.0744953 43.2572 0.4231111 38.9852 0.3725951 39.2593 0.3813013
motorcycle 89.6470 0.7803533 89.5812 0.7293232 92.0578 0.7263752 87.7839 0.7437972 64.4209 4.4589433
pedestrian 179.9200 6.5219796 176.6309 6.0799481 189.3040 6.5214295 163.1986 6.2075252 169.5677 5.9973467
truck 11.2895 1.2470205 11.2797 1.2459356 11.2991 1.2480788 11.2684 1.2446864 11.2697 1.2448291
active_travel 148.4868 6.9542269 95.2454 7.1544434 157.0069 6.9445406 138.2553 6.5801203 141.4936 6.3786480

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.3689 5.1450544 1.3741 5.0496756 1.3968 4.6670020 1.3097 6.0283004 1.4230 4.9519528
car 17.2422 94.0809950 17.3558 91.5675875 16.5183 104.3239377 17.7975 84.3711805 18.0329 91.3925468
cycle 172.9881 14.9941586 124.6806 58.9117213 177.4499 13.1753438 176.4546 13.8475633 181.5227 14.7925255
motorcycle 96.6296 131.2723884 97.1873 128.8505954 99.2478 120.3735068 100.7210 120.2656530 85.6413 189.2944845
other 92.4962 51.7445473 92.7743 50.3846010 93.7002 46.1280750 94.0175 45.0336164 93.4305 48.8749023
pedestrian 233.0073 167.2877693 234.6254 159.8665131 234.8095 157.5977264 229.9193 173.4235733 253.3111 174.7652744
rail 0.1649 0.1470016 0.1651 0.1447179 0.1667 0.1332066 0.1649 0.1470016 0.1661 0.1370746
truck 3.6078 7.2030762 3.6044 7.1962718 3.5926 7.1728065 3.6060 7.1994803 3.6897 7.3666296
active_travel 226.5418 182.2819279 189.6038 218.7782344 229.0962 170.7730701 224.8809 187.2711366 245.7275 189.5577999

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.2745 8.548522 2.2881 8.408503 2.3275 7.776597 2.1564 9.925447 2.3909 8.319904
car 19.5726 106.796426 19.7840 104.378738 18.7095 118.162351 20.2206 95.858414 20.5186 103.990453
cycle 236.0063 20.456413 169.6668 80.167779 242.0458 17.971470 240.7215 18.891009 247.8062 20.194061
motorcycle 109.5846 148.871982 111.2112 147.443441 112.4229 136.353076 114.1548 136.306216 97.0770 214.571149
other 106.5314 59.596177 106.8885 58.049816 107.9232 53.129996 108.3294 51.888907 107.8078 56.395842
pedestrian 261.2595 187.571506 265.8229 181.123494 262.8270 176.402331 257.4814 194.213137 284.2884 196.137216
rail 1.4307 1.275719 1.4332 1.255901 1.4464 1.156003 1.4307 1.275719 1.4418 1.189570
truck 5.5809 11.142403 5.5852 11.150946 5.5529 11.086482 5.5769 11.134494 5.7250 11.430073
active_travel 258.5392 208.027919 226.4477 261.291273 260.7571 194.373800 255.9020 213.104145 280.4344 216.331277

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.8477 3.186060 0.8499 3.1234524 0.8630 2.8832720 0.8168 3.759375 0.8734 3.0393797
car 15.2481 83.200419 15.3113 80.7809623 14.6365 92.4390039 15.7241 74.542156 15.9088 80.6274537
cycle 126.9370 11.002569 91.7067 43.3315292 130.2279 9.6691940 129.4828 10.161371 133.1063 10.8470121
motorcycle 85.6188 116.314127 85.6394 113.5404424 88.0054 106.7381251 89.2746 106.598141 75.9040 167.7718846
other 81.0107 45.319326 81.2450 44.1231596 82.0617 40.3985412 82.3199 39.430579 81.7297 42.7540299
pedestrian 208.9322 150.003033 209.0539 142.4428467 210.8214 141.4975694 206.3659 155.657725 226.7860 156.4649918
rail 0.0190 0.016939 0.0190 0.0166759 0.0192 0.0153494 0.0190 0.016939 0.0191 0.0157952
truck 2.3532 4.698267 2.3487 4.6893384 2.3449 4.6817417 2.3524 4.696608 2.3997 4.7911615
active_travel 200.0994 161.005602 161.0011 185.7743759 202.7938 151.1667634 199.1207 165.819095 216.8898 167.3120039

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5206 7.347687 0.5217 7.188424 0.5286 6.899917 0.4985 8.319039 0.5322 7.025212
car 2.0056 20.707117 2.0124 20.232090 1.9123 23.265358 2.0609 17.953526 2.0712 19.868396
cycle 56.8204 63.011979 41.9939 85.499735 58.3877 59.720189 57.0281 55.237961 60.2681 61.687827
motorcycle 38.0593 195.270338 38.0905 191.955653 39.2423 188.692840 39.2024 167.585764 32.3829 233.054062
pedestrian 65.0211 166.992877 65.5821 158.851533 66.6981 159.850575 62.8428 165.376995 68.5363 166.345813
truck 0.3856 1.558600 0.3847 1.553722 0.3863 1.561316 0.3805 1.538096 0.3911 1.580625
active_travel 62.5480 230.004856 54.8096 244.351268 64.2123 219.570765 61.2784 220.614956 66.0837 228.033641

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9274 13.090635 0.9298 12.812184 0.9432 12.311538 0.8862 14.790207 0.9518 12.562476
car 3.1257 32.271686 3.1380 31.548617 2.9709 36.143812 3.2109 27.971840 3.2271 30.955680
cycle 72.9246 80.871064 54.4831 110.927768 74.8779 76.586764 73.2012 70.903304 77.2854 79.106029
motorcycle 48.1641 247.114869 48.3239 243.526475 49.5761 238.382282 49.6043 212.052518 41.2940 297.185205
pedestrian 81.0716 208.215210 81.9588 198.518847 83.0956 199.149301 78.3376 206.153128 85.4689 207.443214
truck 1.1924 4.819295 1.1890 4.801631 1.1951 4.830382 1.1712 4.733669 1.2152 4.911399
active_travel 78.6147 289.086274 69.4110 309.446615 80.6375 275.736065 76.9557 277.056433 83.0415 286.549243

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2979 4.2044935 0.2984 4.1122646 0.3021 3.9429784 0.2857 4.768092 0.3036 4.0067601
car 1.3004 13.4262075 1.3043 13.1125159 1.2438 15.1316814 1.3365 11.642917 1.3429 12.8821225
cycle 44.5902 49.4490892 32.6481 66.4715652 45.8520 46.8984756 44.7502 43.345487 47.3191 48.4337715
motorcycle 30.3498 155.7151871 30.3149 152.7706409 31.3394 150.6928265 31.2614 133.638667 25.6572 184.6506367
pedestrian 52.4173 134.6227474 52.7776 127.8366674 53.8067 128.9546734 50.6765 133.360199 55.2268 134.0420782
truck 0.1304 0.5270966 0.1302 0.5257295 0.1306 0.5277613 0.1292 0.522186 0.1317 0.5323536
active_travel 50.0568 184.0718367 43.5847 194.3082326 51.4273 175.8531490 49.0821 176.705686 52.8812 182.4758497

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4371 3.385700 0.4388 3.269005 0.4416 3.087682 0.4267 4.201261 0.4407 3.141664
car 10.5489 85.488915 10.5726 82.956922 9.9299 102.151379 10.9370 68.633897 11.3952 84.932761
cycle 27.1916 15.235648 20.8676 31.135245 28.4380 14.623533 26.5596 13.254235 32.2042 17.017983
motorcycle 112.9509 207.374100 112.4331 202.506636 120.0019 199.588523 119.7115 159.803897 92.4291 384.641181
pedestrian 128.1978 251.388194 128.0143 238.432325 134.3165 246.651268 117.4425 246.701901 157.6033 293.605637
truck 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275 0.9524 2.539275
active_travel 105.7508 266.623843 80.3580 269.567571 111.1538 261.274801 99.9964 259.956137 129.8930 310.623620

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.3317 10.315435 1.3369 9.959895 1.3454 9.407444 1.3001 12.800258 1.3428 9.571915
car 14.4724 117.285341 14.5491 114.159050 13.5583 139.477540 15.0232 94.276699 15.8732 118.309411
cycle 58.0389 32.519622 45.5288 67.930719 60.3803 31.049131 56.9616 28.426000 67.5164 35.678320
motorcycle 146.4729 268.919328 147.5805 265.811635 155.0398 257.863894 155.3332 207.355684 120.0359 499.526268
pedestrian 162.5811 318.811740 164.3345 306.080353 169.6608 311.555500 149.0206 313.035316 200.3371 373.216256
truck 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765 3.4474 9.191765
active_travel 139.3483 351.331362 111.4925 374.011072 145.7539 342.604631 131.3487 341.461316 170.9868 408.894576

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1435 1.1112437 0.1440 1.0729427 0.1449 1.0134292 0.1401 1.3789246 0.1447 1.0311471
car 7.8181 63.3583943 7.8281 61.4225435 7.3879 76.0007421 8.0974 50.8146761 8.3323 62.1039502
cycle 13.3042 7.4544240 10.0350 14.9726551 13.9737 7.1856400 12.9485 6.4617713 15.9589 8.4332907
motorcycle 88.3076 162.1298344 87.4219 157.4582881 94.0730 156.4632442 93.5310 124.8553401 72.1237 300.1409306
pedestrian 102.3675 200.7364519 101.6781 189.3800077 107.5865 197.5657543 93.7870 197.0106954 125.2261 233.2889375
truck 0.2631 0.7014883 0.2631 0.7014883 0.2631 0.7014883 0.2631 0.7014883 0.2631 0.7014883
active_travel 82.5746 208.1908759 60.9174 204.3526629 87.1071 204.7513943 78.2690 203.4724667 101.0806 241.7222282

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1551 0.2783215 0.1554 0.2737918 0.1563 0.2592847 0.1505 0.3659559 0.1566 0.2551713
car 5.3053 11.1328585 5.2948 10.8531113 4.8779 12.5323638 5.3567 10.0029171 5.4461 10.5123255
cycle 107.2446 28.9454320 87.5873 43.9281278 110.7379 26.9637044 105.3956 25.3755652 112.9416 28.4755279
motorcycle 47.4469 153.3551254 47.6197 149.0678145 49.4915 149.1442391 48.5422 138.6067878 45.1108 165.8437643
other 64.6108 0.2783215 64.8004 0.2595841 68.3095 0.2337029 66.0255 0.2134361 67.8588 0.2667164
pedestrian 199.1740 87.9495819 198.5731 83.2921061 203.0138 84.0517866 187.9591 84.4580208 209.4618 86.6513145
active_travel 164.3000 116.8950139 138.1345 127.2202339 168.8420 111.0154910 159.1544 109.8335859 172.9120 115.1268425

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.1462 2.056513 1.1483 2.023043 1.1552 1.915850 1.1118 2.704043 1.1573 1.885457
car 8.2955 17.407749 8.2817 16.975441 7.5953 19.513802 8.3700 15.629758 8.5467 16.497145
cycle 142.9891 38.592916 117.5101 58.935463 147.4298 35.897861 140.9848 33.944195 150.0165 37.823085
motorcycle 56.1983 181.640781 56.6257 177.260115 58.4437 176.121794 57.5263 164.259860 53.3641 196.185867
other 481.2964 2.073263 483.0225 1.934940 508.6593 1.740243 491.8656 1.590021 505.2641 1.985920
pedestrian 239.1672 105.609448 239.3785 100.408021 243.5276 100.825332 226.3283 101.698914 250.7388 103.727029
active_travel 202.6815 144.202363 173.0136 159.343483 207.9405 136.723193 196.5536 135.643109 212.5978 141.550114

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0210 0.0376671 0.0210 0.0370540 0.0212 0.0350907 0.0204 0.0495272 0.0212 0.0345340
car 3.4531 7.2461671 3.4463 7.0640964 3.1858 8.1849219 3.4883 6.5139307 3.5328 6.8190748
cycle 82.6786 22.3150499 67.3028 33.7547367 85.4087 20.7962523 81.0051 19.5031687 87.2897 22.0080272
motorcycle 40.6096 131.2558812 40.6557 127.2677191 42.4188 127.8304217 41.4753 118.4280841 38.6412 142.0592231
other 8.6839 0.0374074 8.7041 0.0348676 9.1830 0.0314173 8.8724 0.0286812 9.1236 0.0358601
pedestrian 167.3862 73.9130115 166.4673 69.8252087 170.6341 70.6459533 157.4701 70.7580205 176.4536 72.9963040
active_travel 135.2519 96.2280614 112.4661 103.5799454 139.0732 91.4422056 130.7930 90.2611892 142.6895 95.0043311

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 7.1415 0.6872449 7.1698 0.6632030 7.2708 0.5847629 6.8863 0.9535774 7.2188 0.6237826
car 21.1804 5.0397959 21.1919 4.8618903 19.0753 5.2467387 21.8271 4.4360001 22.0024 4.7413315
cycle 334.4041 1.1454082 184.1206 4.2298978 340.6177 1.0845823 333.9546 1.1072763 406.7882 1.3465385
motorcycle 440.3201 2.5198980 440.6939 2.3392298 450.4979 2.2734024 440.5842 2.4750421 288.0012 14.3905294
pedestrian 122.7450 2.5198980 121.3348 2.3651526 123.7199 2.4368290 119.0439 2.6236758 149.0284 2.9681419
truck 9.8249 0.9163265 9.7464 0.9089979 9.8007 0.9140607 9.8073 0.9146842 10.6075 0.9893089
active_travel 153.0095 3.6653061 155.3008 6.5950504 153.9045 3.5214113 147.1473 3.7309520 185.7631 4.3146804

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 22.6605 2.180678 22.7503 2.104392 23.0708 1.855495 21.8507 3.025771 22.9058 1.979307
car 40.0593 9.531939 39.9650 9.168866 35.6678 9.810553 42.0846 8.553000 48.7155 10.497804
cycle 1067.5316 3.656532 586.0603 13.463863 1070.7583 3.409469 1084.5413 3.595959 1782.6380 5.900836
motorcycle 1164.4146 6.663802 1165.7412 6.187824 1185.4961 5.982513 1179.4363 6.625645 764.5520 38.202294
pedestrian 316.5959 6.499566 311.8909 6.079623 313.2312 6.169505 313.6217 6.912090 553.9919 11.033644
truck 44.5747 4.157271 43.8551 4.090160 44.1319 4.115977 44.6455 4.163871 58.1302 5.421533
active_travel 423.9700 10.156097 460.2117 19.543486 418.6524 9.578974 414.4333 10.508048 729.0927 16.934480

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.2507 0.2165866 2.2596 0.2090097 2.2914 0.1842891 2.1702 0.3005218 2.2750 0.1965863
car 13.1778 3.1356108 13.1907 3.0262362 11.8938 3.2714415 13.5210 2.7479090 13.3929 2.8860727
cycle 112.6125 0.3857226 62.0494 1.4254920 115.8339 0.3688339 110.5144 0.3664268 117.3481 0.3884421
motorcycle 168.2249 0.9627305 168.2982 0.8933370 172.8810 0.8724305 166.4628 0.9351273 109.4495 5.4688499
pedestrian 52.3656 1.0750418 51.7966 1.0096604 53.3896 1.0515795 49.7083 1.0955504 53.8555 1.0726193
truck 2.6199 0.2443428 2.6107 0.2434863 2.6194 0.2443002 2.6144 0.2438315 2.6595 0.2480411
active_travel 60.9801 1.4607644 57.3432 2.4351523 62.0797 1.4204134 57.6598 1.4619772 62.9042 1.4610615

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.1862 1.3744898 3.1767 1.3351378 3.2885 1.2360828 2.9922 1.6698611 3.1704 1.2621913
car 19.7195 13.9739796 19.7876 13.4949435 18.0408 14.6623453 20.7120 12.3836137 20.0407 12.8035529
cycle 117.9160 1.3744898 67.5291 4.6667886 126.0168 1.2965814 111.9056 1.2359981 112.9302 1.2493236
motorcycle 387.8251 5.7270408 385.3059 5.4779990 404.5383 5.2434607 376.4011 5.2889051 243.0420 36.3315092
pedestrian 93.9542 9.6214286 93.3400 8.9883088 98.3250 9.4838181 86.7251 9.2631318 89.7122 8.7728760
truck 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265 3.5181 0.9163265
active_travel 96.4030 10.9959184 82.5559 13.6550974 100.9942 10.7803996 89.0849 10.4991299 92.0719 10.0221996

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.2972 4.442038 10.2498 4.307864 10.6851 4.016306 9.5599 5.335116 10.2077 4.063804
car 30.0575 21.299836 30.1498 20.561841 27.4301 22.293308 31.7653 18.992377 30.5108 19.492645
cycle 286.8611 3.343801 164.3862 11.360379 305.6738 3.145064 274.3208 3.029875 275.1230 3.043629
motorcycle 732.4165 10.815645 728.2963 10.354387 761.3322 9.868079 716.1008 10.062111 463.7009 69.317037
pedestrian 148.4571 15.202827 147.6663 14.219737 154.5469 14.906633 138.9222 14.838317 142.1458 13.900310
truck 9.5631 2.490834 9.5631 2.490834 9.5631 2.490834 9.5631 2.490834 9.5631 2.490834
active_travel 162.6012 18.546627 154.6521 25.580115 169.1140 18.051697 151.6113 17.868192 155.6604 16.943939

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0312 0.4448426 1.0296 0.4327321 1.0593 0.3981629 0.9781 0.5458422 1.0295 0.4098708
car 13.2452 9.3860107 13.2942 9.0664928 12.1403 9.8668016 13.8466 8.2788596 13.4715 8.6066461
cycle 48.7832 0.5686425 27.9203 1.9295137 52.2692 0.5377956 45.9831 0.5078838 46.6548 0.5161329
motorcycle 207.6575 3.0664931 206.1177 2.9304315 217.3287 2.8169262 200.1305 2.8120832 128.7048 19.2396297
pedestrian 60.6336 6.2092118 60.1674 5.7939018 63.7296 6.1469592 55.3309 5.9099034 57.7403 5.6463695
truck 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977 1.2942 0.3370977
active_travel 59.4225 6.7778543 46.6942 7.7234155 62.6249 6.6847547 54.4548 6.4177872 56.6136 6.1625024

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5410 0.4581633 0.5475 0.4449444 0.5708 0.4231221 0.4953 0.5190612 0.5480 0.4287850
car 13.6691 14.6612245 13.9393 14.4086864 12.4561 15.7476229 14.6850 12.9701270 14.1596 13.9075744
cycle 27.2171 0.4581633 14.8600 1.7074944 28.9808 0.4448737 27.1698 0.3899010 27.2409 0.4227410
motorcycle 253.0920 5.9561224 254.4534 5.8398957 267.1164 5.1778553 259.1195 4.6628354 163.5077 37.1742928
other 62.5242 0.2290816 62.9747 0.2248219 65.9336 0.2168407 60.3012 0.2141872 62.9941 0.2111147
pedestrian 126.5077 18.5556122 127.6594 17.7523326 133.1526 18.3450183 118.4370 18.4540476 124.9046 17.6141486
truck 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796 6.6928 2.7489796
active_travel 116.2855 19.0137755 76.6240 19.4598270 122.7094 18.7898920 110.7402 18.8439486 115.2227 18.0368896

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.0981 3.470292 4.2329 3.439767 4.3140 3.197721 3.7460 3.925826 4.2847 3.352333
car 21.5462 23.110053 23.7284 24.527383 19.4459 24.584539 23.0465 20.355254 25.0479 24.602020
cycle 116.7730 1.965715 63.7766 7.328267 123.8190 1.900702 116.6437 1.673895 124.6942 1.935079
motorcycle 471.5028 11.096076 499.1377 11.455582 495.1246 9.597627 483.6732 8.703662 305.1670 69.381254
other 483.8844 1.772898 502.6573 1.794505 508.1161 1.671079 466.3083 1.656306 511.6387 1.714675
pedestrian 198.8165 29.161569 218.3121 30.358505 205.9679 28.377111 187.2403 29.174495 225.4124 31.787834
truck 11.9219 4.896791 11.9219 4.896791 11.9219 4.896791 11.9219 4.896791 11.9219 4.896791
active_travel 190.3699 31.127284 148.3934 37.686772 197.7325 30.277814 181.2866 30.848390 215.4277 33.722914

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0721 0.0610392 0.0723 0.0587253 0.0761 0.0564381 0.0660 0.0691949 0.0720 0.0562970
car 9.2896 9.9637949 9.3176 9.6314025 8.5067 10.7546311 9.9498 8.7879364 9.3831 9.2160383
cycle 6.4071 0.1078556 3.4973 0.4018569 6.8407 0.1050086 6.3848 0.0916249 6.2519 0.0970211
motorcycle 138.8949 3.2686728 137.8110 3.1628651 147.1448 2.8522928 141.7727 2.5511885 89.2733 20.2967344
other 8.1875 0.0299980 8.1261 0.0290104 8.6571 0.0284712 7.8928 0.0280350 8.0591 0.0270089
pedestrian 88.6986 13.0099313 87.7685 12.2050933 94.1364 12.9695874 82.2945 12.8225608 84.6883 11.9428143
truck 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329 3.7572 1.5432329
active_travel 80.2265 13.1177870 49.6404 12.6069502 85.3851 13.0745959 75.8927 12.9141857 76.9125 12.0398354

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.4790 0.6872449 4.2548 0.8114169 3.6805 0.6176248 3.0706 0.7979107 3.9887 0.7139052
car 17.4328 7.3306122 18.7267 7.5802761 15.8756 7.6423651 17.9513 6.5476045 18.5795 7.0668313
cycle 275.9259 0.6872449 120.9377 4.3686947 293.0219 0.6195763 270.5085 0.6427925 302.4437 0.7320911
motorcycle 272.1650 2.5198980 298.8913 2.6281314 278.2487 2.2904626 271.4894 2.3665307 188.8384 16.0202418
pedestrian 115.2262 4.3525510 135.3510 4.8416254 117.7049 4.2382768 109.1930 4.4312196 126.0991 4.6087368
truck 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082 7.1202 1.1454082
active_travel 125.1667 5.0397959 128.1090 9.2103201 127.4288 4.8578531 118.1162 5.0740122 137.0528 5.3408279

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 13.9337 2.752479 21.7830 4.154119 14.5441 2.440622 12.3465 3.208341 19.3461 3.462572
car 32.4448 13.643280 42.8102 17.328864 29.2065 14.059745 33.6146 12.260691 40.1423 15.268350
cycle 1052.7744 2.622131 461.2419 16.661685 1108.4301 2.343705 1041.9186 2.475846 1393.3193 3.372650
motorcycle 722.0745 6.685482 955.9658 8.405743 734.8928 6.049425 722.8842 6.301267 487.7273 41.376690
pedestrian 270.9249 10.233911 432.1044 15.456755 271.4090 9.772803 260.4561 10.569711 381.9718 13.960505
truck 17.4155 2.801593 17.4155 2.801593 17.4155 2.801593 17.4155 2.801593 17.4155 2.801593
active_travel 319.2884 12.856041 446.7446 32.118440 317.8343 12.116509 303.6832 13.045557 444.7922 17.333155

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9404 0.1857705 1.0129 0.1931611 1.0009 0.1679600 0.8275 0.2150422 0.9800 0.1753920
car 10.6340 4.4716873 10.8097 4.3755767 9.7245 4.6812740 10.8982 3.9750223 10.9071 4.1485735
cycle 75.2084 0.1873205 32.9578 1.1905517 80.3214 0.1698345 73.0452 0.1735728 75.7279 0.1833059
motorcycle 107.5872 0.9961189 110.6833 0.9732305 110.1275 0.9065373 107.0573 0.9332017 76.2558 6.4692117
pedestrian 54.9830 2.0769266 57.2363 2.0473936 56.7485 2.0433791 51.3350 2.0832521 54.5798 1.9948116
truck 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906 2.9110 0.4682906
active_travel 56.2341 2.2642471 45.0375 3.2379454 58.0559 2.2132137 52.5359 2.2568250 55.8934 2.1781175

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 318.8052 0.1855476 317.9124 0.185028 344.8292 0.1620989 331.6297 0.141047 339.3649 0.1899169
bus 1.7749 2.7832146 1.7827 2.699365 1.8014 2.6218705 1.7048 3.432062 1.8107 2.6173056
car 3.2225 4.4531434 3.2387 4.342221 2.8892 5.6160938 3.2895 3.866135 3.3000 4.2293737
cycle 157.9430 10.0195726 108.9461 33.129431 166.3555 9.3293996 161.1633 8.385918 167.9922 9.8807942
motorcycle 60.8594 125.9868484 61.2026 124.373850 64.0691 124.3924960 62.6275 112.929728 57.2513 149.9560779
pedestrian 131.3113 75.5178900 132.8043 71.746473 137.7146 74.8417778 124.6352 75.032208 141.9556 77.1565774
truck 2.0845 1.1132858 2.0821 1.112024 2.1082 1.1259592 2.0554 1.097768 2.1305 1.1378905
active_travel 133.9571 85.5374626 124.2116 104.875904 140.3937 84.1711774 127.5412 83.418126 144.4980 87.0373717

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 2370.5278 1.379670 2370.0482 1.379391 2563.6722 1.205143 2465.8841 1.048777 2522.7801 1.411810
bus 3.6606 5.740309 3.6844 5.578951 3.7426 5.447382 3.4613 6.968205 3.7787 5.461811
car 5.6793 7.848071 5.7217 7.671266 5.0566 9.828970 5.8047 6.822284 5.8692 7.522117
cycle 235.3970 14.933097 163.9840 49.865913 247.5272 13.881596 240.3167 12.504559 249.6954 14.686329
motorcycle 70.3491 145.631756 71.6125 145.528538 74.0289 143.729894 72.4087 130.567099 66.1105 173.160679
pedestrian 155.8907 89.653642 159.6737 86.262470 163.3739 88.786453 148.1191 89.169855 168.1845 91.412667
truck 6.6605 3.557302 6.6635 3.558891 6.7584 3.609573 6.5401 3.492983 6.8501 3.658566
active_travel 163.7895 104.586739 161.2261 136.128383 171.2456 102.668049 155.4540 101.674414 176.1438 106.098996

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
auto_rickshaw 42.8905 0.0249627 42.6776 0.0248387 46.3973 0.0218106 44.6151 0.0189755 45.6665 0.0255561
bus 0.9404 1.4746521 0.9439 1.4292328 0.9506 1.3836254 0.9108 1.8337057 0.9533 1.3778704
car 1.9124 2.6426754 1.9201 2.5743222 1.7228 3.3487427 1.9504 2.2922625 1.9458 2.4937846
cycle 106.4855 6.7552158 72.7480 22.1219398 112.3371 6.2999863 108.6004 5.6508744 113.5559 6.6790174
motorcycle 52.9663 109.6471063 52.9596 107.6225951 55.7614 108.2629582 54.4713 98.2224491 49.8710 130.6253452
pedestrian 111.1833 63.9421636 111.7517 60.3730069 116.6566 63.3976563 105.3962 63.4500826 120.3893 65.4347455
truck 0.6788 0.3625425 0.6777 0.3619288 0.6846 0.3656130 0.6718 0.3587929 0.6900 0.3685185
active_travel 110.7166 70.6973794 97.7044 82.4949467 116.2525 69.6976425 105.6511 69.1009570 119.7221 72.1137630

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0460 11.024186 1.0513 10.744651 1.0576 10.229512 1.0174 12.908362 1.0996 10.886419
car 22.2538 288.203709 22.4325 283.719718 21.0193 317.619463 22.8912 248.863192 26.2222 320.413372
cycle 144.3242 32.285115 91.4764 110.702295 149.0444 30.212892 143.9692 28.785893 201.6160 42.140910
motorcycle 120.5972 102.367438 123.1990 102.081773 125.0532 97.126701 124.5499 88.169300 90.3387 285.269276
other 1309.0937 48.821393 1334.9773 47.863830 1327.3804 46.645823 1304.1790 41.911017 1867.0147 67.121024
pedestrian 257.9485 502.387887 263.5486 486.626649 264.1651 482.980082 244.6658 500.355194 377.0509 701.195196
truck 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302 2.1323 9.449302
active_travel 246.2425 534.673002 195.4218 597.328945 252.6753 513.192973 235.6975 529.141087 359.3255 743.336106

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.5603 26.98317 2.5920 26.49072 2.6075 25.22032 2.4211 30.71875 3.0362 30.05925
car 26.5824 344.26128 27.0289 341.85356 25.0547 378.59764 27.3618 297.46521 31.7568 388.04266
cycle 239.8509 53.65429 156.4240 189.30021 247.0965 50.08912 239.6551 47.91780 326.8231 68.31115
motorcycle 164.6140 139.73060 171.2345 141.88363 170.3023 132.27098 169.9574 120.31344 123.9462 391.39419
other 1983.9574 73.98979 2051.6334 73.55858 2008.6720 70.58727 1979.9415 63.62728 2758.3575 99.16568
pedestrian 306.0884 596.14648 319.5233 589.98040 312.8552 572.00166 290.5179 594.12540 447.0560 831.38247
truck 4.1148 18.23497 4.1148 18.23497 4.1148 18.23497 4.1148 18.23497 4.1148 18.23497
active_travel 299.2644 649.80077 254.9490 779.28061 306.2921 622.09078 285.9880 642.04320 434.9080 899.69363

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5241 5.523495 0.5259 5.374665 0.5289 5.115349 0.5135 6.515138 0.5322 5.268801
car 18.7612 242.971370 18.8240 238.080316 17.7526 268.256661 19.2865 209.674613 21.8044 266.431553
cycle 89.5464 20.031388 55.5173 67.185522 92.6486 18.780857 89.2178 17.838626 127.3045 26.608629
motorcycle 89.2321 75.743612 90.0897 74.647626 92.7006 71.999021 92.1787 65.253648 66.4860 209.947839
other 904.4444 33.730385 912.9196 32.731513 917.9775 32.258889 900.2078 28.929022 1306.3746 46.965458
pedestrian 219.1697 426.861104 221.1852 408.405162 224.7804 410.972115 207.7858 424.933604 319.7417 594.618207
truck 1.1049 4.896599 1.1049 4.896599 1.1049 4.896599 1.1049 4.896599 1.1049 4.896599
active_travel 205.8154 446.892493 155.5940 475.590684 211.5928 429.752972 197.2259 442.772230 300.2984 621.226836

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.2278 0.3384842 0.2287 0.3271478 0.2308 0.3009097 0.2237 0.3992569 0.2298 0.3133187
car 9.1263 13.8778514 9.1056 13.4125351 8.6730 15.7054072 9.4561 11.6902682 9.6900 13.2646705
cycle 91.2523 4.4002943 62.6780 12.8182765 96.7085 4.2529262 88.7073 3.8696846 94.6950 4.2090415
motorcycle 118.9634 46.0338484 118.2610 43.8557017 125.5499 44.6969378 120.2184 36.9418398 101.3417 71.5927529
pedestrian 53.5065 18.6166299 53.1865 17.3711660 57.3802 18.2122461 48.9189 18.2715788 55.3560 18.3785932
truck 1.9285 1.0154525 1.9285 1.0154525 1.9285 1.0154525 1.9285 1.0154525 1.9285 1.0154525
active_travel 58.1011 23.0169242 56.8412 30.1894425 62.1662 22.4651724 53.0799 22.1412633 60.0008 22.5876347

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6834 2.501054 1.6898 2.417290 1.7055 2.223417 1.6528 2.950103 1.6979 2.315107
car 15.4149 23.440636 15.3405 22.596560 14.5689 26.382091 15.9711 19.744516 16.5135 22.605487
cycle 212.3404 10.239307 149.8664 30.649166 222.7311 9.794995 207.6336 9.057617 221.4268 9.842061
motorcycle 170.1690 65.848290 168.8498 62.615929 178.1517 63.423679 173.0967 53.190783 144.9133 102.373915
pedestrian 82.8620 28.830353 82.2177 26.853036 87.8596 27.886258 76.0530 28.406384 87.3427 28.998403
truck 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105 6.1191 3.222105
active_travel 98.6226 39.069660 108.2662 57.502202 104.2726 37.681252 89.8135 37.464001 103.1742 38.840465

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.0308 0.0458093 0.0309 0.0442751 0.0312 0.0407241 0.0303 0.0540341 0.0311 0.0424035
car 5.5665 8.4646953 5.5622 8.1930372 5.3116 9.6185852 5.7671 7.1297060 5.8559 8.0161300
cycle 41.1138 1.9825573 27.5927 5.6429841 43.9697 1.9336467 39.7697 1.7348760 42.3583 1.8827566
motorcycle 85.7738 33.1908722 85.3137 31.6375864 91.0212 32.4044177 86.2054 26.4900065 72.9882 51.5624885
pedestrian 35.7208 12.4284240 35.5367 11.6066006 38.6409 12.2644460 32.5550 12.1595600 36.2986 12.0513899
truck 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218 0.6078 0.3200218
active_travel 36.3773 14.4109813 32.4778 17.2495847 39.2893 14.1980926 33.3095 13.8944361 37.0141 13.9341465

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 38.1978 7.7887755 38.2948 7.5128334 34.1694 8.2103125 39.4166 6.9716480 38.4617 7.1698625
cycle 33.2999 0.2290816 21.5983 0.5803603 35.1866 0.2145885 33.3197 0.2022379 31.9450 0.2094559
motorcycle 211.3793 1.1454082 211.6462 1.0623443 216.0776 1.0927623 209.2399 1.0829700 140.3245 6.6200923
pedestrian 163.3936 5.7270408 161.9426 5.3696284 169.1647 5.5994635 155.1929 5.7345020 156.2495 5.2573115
truck 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714 19.3547 1.6035714
active_travel 142.0494 5.9561224 99.1197 5.9499886 148.3205 5.8140520 137.9981 5.9367400 135.9768 5.4667674

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 67.2291 13.708436 67.3498 13.212963 59.9482 14.404514 69.8178 12.348745 67.5736 12.596775
cycle 264.6022 1.820289 171.6998 4.613692 279.0987 1.702108 265.7519 1.613013 254.1054 1.666111
motorcycle 803.7434 4.355272 805.3299 4.042302 819.8233 4.146066 798.4981 4.132813 540.1500 25.482667
pedestrian 318.3215 11.157355 315.9417 10.475872 327.7113 10.847459 305.9203 11.304005 305.3902 10.275437
truck 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948 41.2176 3.414948
active_travel 309.5079 12.977644 251.3742 15.089564 320.1482 12.549567 300.2531 12.917018 297.0262 11.941548

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 22.6880 4.6262226 22.7598 4.4651059 20.3550 4.8909623 23.2772 4.1170669 22.8793 4.2650665
cycle 4.2029 0.0289132 2.7248 0.0732164 4.4490 0.0271327 4.1895 0.0254288 4.0278 0.0264091
motorcycle 56.0747 0.3038536 56.1037 0.2816088 57.4586 0.2905837 55.2831 0.2861308 36.7548 1.7339827
pedestrian 86.0083 3.0146415 85.1328 2.8228002 89.5636 2.9646131 80.7138 2.9824410 82.0047 2.7592036
truck 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958 9.0885 0.7529958
active_travel 72.5867 3.0435547 48.2442 2.8960166 76.3215 2.9917458 69.9172 3.0078697 69.2875 2.7856127

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.4475 0.4581633 1.4410 0.4453585 1.4985 0.4206076 1.3666 0.5104985 1.4413 0.4222599
car 14.9606 6.8724490 15.0086 6.6597375 13.6837 7.1677181 15.4593 6.2832051 14.9888 6.4565350
cycle 188.4476 0.4581633 82.1076 2.9720017 200.8774 0.4186142 181.9683 0.4339837 180.3588 0.4384974
motorcycle 258.3283 0.9163265 259.9850 0.8384616 261.8540 0.9130464 258.4620 0.8056257 139.4085 9.9025494
pedestrian 255.0415 13.5158163 254.2145 12.6547013 264.8378 13.0232368 240.4256 13.6616246 247.0667 12.5582052
truck 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714 8.9691 1.6035714
active_travel 252.1204 13.9739796 181.7564 15.6267030 262.2375 13.4418510 238.0709 14.0956082 244.0216 12.9967026

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.8850 3.445358 10.8369 3.349381 11.2682 3.162836 10.2750 3.838162 10.8396 3.175589
car 26.4878 12.167700 26.5705 11.790097 24.1430 12.646423 27.4875 11.171898 26.4983 11.414301
cycle 817.6541 1.987922 356.4452 12.902047 869.7674 1.812533 792.1270 1.889176 782.9695 1.903595
motorcycle 1138.0126 4.036689 1146.5082 3.697533 1149.0313 4.006503 1143.9304 3.565629 666.0530 47.311479
pedestrian 428.0681 22.685291 427.5675 21.284149 441.0736 21.689524 408.6305 23.219469 416.2147 21.155867
truck 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948 19.1005 3.414948
active_travel 445.1573 24.673212 397.6246 34.186197 458.5023 23.502057 424.0781 25.108645 432.9564 23.059462

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.1927 0.0609845 0.1918 0.0592750 0.1995 0.0559867 0.1819 0.0679640 0.1918 0.0562019
car 8.7311 4.0107847 8.7596 3.8869032 8.0091 4.1952941 8.9892 3.6535356 8.7581 3.7726275
cycle 43.5484 0.1058772 18.9646 0.6864495 46.5148 0.0969336 41.9163 0.0999679 41.6577 0.1012802
motorcycle 65.7522 0.2332324 66.1091 0.2132044 66.8940 0.2332496 65.4776 0.2040937 33.4016 2.3725990
pedestrian 162.9879 8.6374759 162.1952 8.0740143 170.3190 8.3753334 152.0653 8.6407575 157.5610 8.0087024
truck 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958 4.2117 0.7529958
active_travel 157.7487 8.7433531 101.8942 8.7604638 165.2857 8.4722670 147.6284 8.7407254 152.2702 8.1099826

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 32.1309 3.3147384 32.2411 3.1833722 25.7944 3.1634924 35.5112 3.0615393 37.7823 3.3890244
cycle 356.5420 0.2634506 138.2069 1.4435062 348.4106 0.2326665 384.1099 0.2552647 411.3801 0.3026410
motorcycle 69.5688 0.2232507 69.0928 0.2078629 70.6551 0.1681970 76.3259 0.2079363 57.8824 1.5266643
other 208.3415 0.2525746 203.7966 0.2457139 170.5607 0.0937203 206.8668 0.2171932 282.7774 0.2875214
pedestrian 320.6733 2.7678847 319.2996 2.6311990 299.6478 2.4680320 327.3507 3.0550206 367.7802 3.0886393
truck 34.0187 1.3523323 34.0187 1.3523323 34.0187 1.3523323 34.0187 1.3523323 34.0187 1.3523323
active_travel 323.5017 3.0313353 218.0728 4.0747052 303.3049 2.7006986 331.1238 3.3102853 371.2919 3.3912802

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 192.5497 19.864097 192.7355 19.030030 152.0563 18.648568 211.9549 18.273367 259.7727 23.301294
cycle 5149.6107 3.805072 1984.3860 20.725981 4872.8921 3.254088 5485.7348 3.645609 6699.0900 4.928336
motorcycle 836.5265 2.684467 832.7140 2.505185 837.3796 1.993414 913.7543 2.489361 744.7943 19.644167
other 2596.5502 3.147825 2541.4429 3.064172 2584.8037 1.420307 2493.9454 2.618438 3813.8926 3.877876
pedestrian 2140.2949 18.473911 2128.7268 17.541846 1973.7540 16.256712 2169.5159 20.247141 2833.2145 23.793499
truck 170.7059 6.786011 170.7059 6.786011 170.7059 6.786011 170.7059 6.786011 170.7059 6.786011
active_travel 2377.5954 22.278982 2048.0435 38.267827 2191.1816 19.510800 2389.9625 23.892750 3144.5898 28.721835

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 5.9613 0.6149919 5.9916 0.5915926 4.8417 0.5937924 6.5993 0.5689499 6.4764 0.5809272
cycle 26.5677 0.0196310 10.2027 0.1065625 26.7285 0.0178491 28.9546 0.0192421 28.2462 0.0207800
motorcycle 5.9575 0.0191180 5.9023 0.0177568 6.1437 0.0146253 6.5606 0.0178732 4.6869 0.1236195
other 18.6181 0.0225709 18.2027 0.0219467 12.2747 0.0067448 19.2032 0.0201618 23.8817 0.0242824
pedestrian 56.1499 0.4846564 55.9664 0.4611929 53.2193 0.4383377 57.4722 0.5363627 58.5477 0.4916874
truck 7.1394 0.2838114 7.1394 0.2838114 7.1394 0.2838114 7.1394 0.2838114 7.1394 0.2838114
active_travel 53.8172 0.5042874 30.3855 0.5677554 51.2326 0.4561868 55.5765 0.5556048 56.1071 0.5124674

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.7217 5.233301 1.7192 5.125841 1.7769 4.984627 1.6518 5.833617 1.7526 5.027046
car 23.0340 71.218394 23.1351 69.030972 21.6732 80.647069 24.1904 62.950342 23.5841 68.753428
cycle 168.9855 28.214316 127.6933 55.885272 181.7083 26.695136 172.0413 25.257242 173.0797 27.078461
motorcycle 175.6833 43.004078 174.5562 41.923455 182.0665 42.054737 179.6590 37.056662 134.8810 121.359064
other 219.9363 2.502883 218.9060 2.381088 232.3585 2.435841 220.5767 2.294345 226.3174 2.406343
pedestrian 227.4042 121.276050 226.6729 114.770656 241.3746 119.914637 219.0750 124.916765 231.8476 117.874282
truck 6.4803 7.508648 6.4277 7.447701 6.6043 7.652287 6.4175 7.435896 6.5234 7.558585
active_travel 213.4756 149.490366 180.7835 170.655929 227.7571 146.609773 209.4448 150.174008 218.0188 144.952743

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.3471 10.173820 3.3471 9.979537 3.4762 9.751601 3.1842 11.245407 3.4285 9.834331
car 28.0890 86.847749 28.3427 84.569490 26.3644 98.103103 29.5215 76.823547 29.0139 84.582592
cycle 229.3174 38.287521 174.7881 76.496384 245.4505 36.059643 233.3855 34.263143 237.8047 37.204732
motorcycle 228.5128 55.935793 228.5159 54.883040 236.2775 54.576695 233.6568 48.194306 175.6142 158.008743
other 445.2073 5.066475 445.9152 4.850317 469.3890 4.920659 446.1930 4.641111 461.3148 4.904977
pedestrian 275.5772 146.966993 277.3059 140.407534 291.1301 144.633099 265.4556 151.363033 285.9176 145.364170
truck 11.4202 13.232408 11.3642 13.167576 11.6379 13.484688 11.2977 13.090526 11.5515 13.384586
active_travel 264.5476 185.254514 229.7761 216.903918 280.7048 180.692742 258.8892 185.626176 274.5961 182.568903

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9150 2.781338 0.9142 2.725762 0.9390 2.634114 0.8839 3.121807 0.9273 2.659746
car 19.1457 59.196241 19.2214 57.353184 18.0444 67.144253 20.0800 52.254061 19.4767 56.779290
cycle 126.8947 21.186721 95.2069 41.667497 136.9304 20.116724 129.2158 18.970072 128.6150 20.121918
motorcycle 136.6237 33.442996 135.6090 32.569432 141.7703 32.746883 139.6831 28.811176 104.6876 94.192591
other 109.6775 1.248134 109.0314 1.185958 115.9975 1.216015 110.0337 1.144524 112.1247 1.192177
pedestrian 191.6949 102.232074 190.8023 96.608426 204.0408 101.367270 184.5743 105.244440 192.7865 98.015111
truck 3.7090 4.297523 3.6784 4.262124 3.7779 4.377451 3.6758 4.259041 3.7188 4.308957
active_travel 176.2448 123.418795 146.4819 138.275923 188.7244 121.483994 173.2396 124.214512 177.6861 118.137029

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0576 9.678019 1.0576 9.339142 1.1098 8.975772 0.9690 11.035938 1.1736 9.915532
car 13.8070 164.732230 13.8413 158.989484 13.0790 189.025226 14.2895 139.372145 14.9300 165.047236
cycle 257.3022 37.682498 152.4583 193.146720 273.2653 34.912162 254.5026 33.444767 288.3294 40.340836
motorcycle 261.6329 424.391408 260.5002 411.799023 273.9225 404.024976 268.4906 348.372286 215.2792 900.679266
other 22.7871 1.441407 22.8690 1.331177 23.7600 1.417556 22.7801 1.173612 27.3230 1.450531
pedestrian 207.6555 391.444962 206.2957 370.617587 219.9226 383.747809 193.9158 388.664038 241.7482 433.450233
truck 3.2599 14.619985 3.2407 14.534102 3.2937 14.771655 3.2027 14.363549 3.4393 15.424553
active_travel 211.2345 429.127460 184.0311 563.764307 223.5618 418.659971 197.6438 422.108806 245.1199 473.791069

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.6026 14.664811 1.6071 14.19078 1.6829 13.610136 1.4655 16.690460 1.7833 15.066228
car 15.2815 182.325381 15.3663 176.50680 14.4566 208.934005 15.8231 154.330160 16.6027 183.538297
cycle 318.3770 46.627041 190.4684 241.30112 337.5503 43.125163 315.0836 41.405855 356.3568 49.858703
motorcycle 282.2773 457.878429 282.7288 446.93808 295.3557 435.638000 289.7733 375.987096 232.1388 971.216003
other 48.7345 3.082714 49.0746 2.85658 50.8010 3.030852 48.7143 2.509722 58.4476 3.102881
pedestrian 225.5070 425.096360 225.7418 405.55317 238.3670 415.931837 210.6597 422.223644 263.6758 472.766103
truck 4.5516 20.413159 4.5311 20.32106 4.6029 20.643291 4.4632 20.016555 4.8292 21.657895
active_travel 232.2020 471.723401 211.1544 646.85429 245.1335 459.057000 217.0850 463.629499 270.3845 522.624806

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.6988 6.3947532 0.6978 6.1616859 0.7328 5.9262859 0.6415 7.3055374 0.7733 6.5331791
car 12.5008 149.1484330 12.5158 143.7643779 11.8562 171.3514756 12.9307 126.1188056 13.4554 148.7460438
cycle 208.4116 30.5223625 122.3361 154.9854051 221.7092 28.3253866 206.0262 27.0743650 233.7481 32.7042322
motorcycle 242.9047 394.0125946 241.2145 381.3120956 254.4330 375.2785936 249.1532 323.2816439 199.9444 836.5217342
other 10.6605 0.6743341 10.6748 0.6213666 11.1182 0.6633277 10.6579 0.5490887 12.7785 0.6783864
pedestrian 191.8638 361.6766457 189.9436 341.2404610 203.5434 355.1674576 179.0984 358.9654650 222.2852 398.5535508
truck 2.3464 10.5232198 2.3318 10.4577046 2.3686 10.6229093 2.3094 10.3570196 2.4623 11.0429930
active_travel 193.0568 392.1990082 161.9844 496.2258661 204.7827 383.4928442 180.7553 386.0398300 223.1150 431.2577830

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 16.7323 8.0178571 16.7515 7.7545064 15.3606 8.7644219 17.5201 6.7402399 16.8003 7.4246532
cycle 78.3794 2.0617347 41.9814 3.0896940 83.7817 1.9522379 75.6729 1.7454868 77.0020 1.8973626
motorcycle 146.7659 1.8326531 147.3323 1.7399277 149.3268 1.7079457 144.7514 1.6947399 76.9378 8.5517640
pedestrian 104.2327 9.1632653 102.4372 8.5080247 110.0140 9.1890462 98.2050 9.0875941 100.4020 8.5269724
truck 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633 2.4056 0.4581633
active_travel 98.2786 11.2250000 74.0346 11.5977188 104.2921 11.1412840 93.7092 10.8330809 95.1397 10.4243349

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 55.4411 26.566565 55.4872 25.685852 50.8498 29.013697 58.1965 22.389040 55.6750 24.604774
cycle 251.6118 6.618535 137.0243 10.084538 267.8817 6.242042 245.0157 5.651584 246.5000 6.073866
motorcycle 603.3979 7.534577 605.8622 7.154957 617.5953 7.063830 596.3365 6.981871 331.6832 36.867139
pedestrian 318.0328 27.958763 313.5254 26.040170 332.4763 27.770468 303.5951 28.093772 307.3475 26.102498
truck 14.1535 2.695672 14.1535 2.695672 14.1535 2.695672 14.1535 2.695672 14.1535 2.695672
active_travel 302.7357 34.577298 230.6037 36.124708 318.3868 34.012510 291.9068 33.745356 293.6638 32.176364

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 5.3537 2.5654353 5.3589 2.4807299 4.9210 2.8078116 5.5950 2.1524940 5.3734 2.3747076
cycle 25.6534 0.6748007 13.5473 0.9970361 27.5028 0.6408560 24.5913 0.5672274 25.2545 0.6222829
motorcycle 37.2033 0.4645543 37.3421 0.4409936 37.5957 0.4300060 36.6719 0.4293522 18.7699 2.0863006
pedestrian 37.6655 3.3112339 36.9060 3.0652648 40.0183 3.3425750 35.1712 3.2546385 36.2372 3.0775632
truck 0.4188 0.0797619 0.4188 0.0797619 0.4188 0.0797619 0.4188 0.0797619 0.4188 0.0797619
active_travel 34.8991 3.9860347 25.9319 4.0623009 37.2884 3.9834310 33.0602 3.8218659 33.7674 3.6998461

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.1895 0.4458507 3.1652 0.4234903 3.2462 0.3813619 3.0443 0.5415987 3.2026 0.4042502
car 14.2384 3.3322651 14.3844 3.2105610 12.6634 3.4624536 14.4884 2.9133392 14.2438 3.0784470
cycle 82.9757 0.9811944 49.1124 1.7252025 83.5238 0.8954032 83.8759 0.9186798 82.5521 0.9117714
motorcycle 118.0235 0.6971671 118.0230 0.6313930 116.2287 0.6645132 121.4312 0.6804225 65.4847 3.1255875
pedestrian 77.7249 2.3948036 78.1424 2.2631110 76.4879 2.1944501 78.5295 2.6300577 76.5424 2.2662004
active_travel 79.1812 3.3759980 62.2309 3.9883136 78.4018 3.0898533 79.8471 3.5487375 78.1752 3.1779718

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 24.7608 3.461202 24.6779 3.301841 24.9848 2.935234 24.7144 4.396885 24.8935 3.14221
car 84.4726 19.769387 85.2781 19.033825 74.6342 20.406656 86.0396 17.300960 84.5306 18.26925
cycle 633.2226 7.487906 403.2566 14.165436 636.7530 6.826205 637.8758 6.986553 627.7382 6.93324
motorcycle 1100.7230 6.501993 1093.5333 5.850124 1085.0411 6.203494 1118.5425 6.267592 654.9217 31.25946
pedestrian 402.9983 12.416893 403.8701 11.696637 396.8405 11.385424 404.9885 13.563604 395.0946 11.69761
active_travel 466.8503 19.904798 403.5338 25.862074 462.1008 18.211629 462.3813 20.550157 458.3020 18.63085

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.5062 0.0707632 0.5006 0.0669763 0.5187 0.0609398 0.4665 0.0829924 0.5080 0.0641245
car 2.7121 0.6347153 2.7425 0.6121283 2.4352 0.6658387 2.7527 0.5535259 2.7145 0.5866647
cycle 12.4319 0.1470087 6.9890 0.2455072 12.5306 0.1343322 12.5896 0.1378919 12.4230 0.1372100
motorcycle 15.3500 0.0906726 15.5074 0.0829604 15.0974 0.0863160 15.9801 0.0895420 7.9987 0.3817775
pedestrian 16.1109 0.4963990 16.2494 0.4706056 15.8707 0.4553326 16.3329 0.5470097 15.9312 0.4716763
active_travel 15.0906 0.6434076 11.1737 0.7161128 14.9621 0.5896648 15.4104 0.6849015 14.9780 0.6088864

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.6208 10.325895 3.6109 10.036140 3.8023 9.940206 3.3038 11.013514 3.8086 9.957306
car 20.1294 22.290821 20.3740 21.479464 16.4942 25.537586 20.8443 17.124905 21.9804 22.388541
cycle 218.9227 8.195155 120.9851 30.020164 240.6879 8.126056 208.1743 6.271682 235.8783 8.166965
motorcycle 108.2008 23.110336 106.5820 22.744595 117.1827 21.955051 107.4817 16.492601 80.9917 57.246593
pedestrian 184.2331 112.437521 183.4475 105.060196 200.4637 113.404213 164.5694 99.525325 196.7948 113.742491
truck 14.7151 4.917093 14.6739 4.903308 14.8446 4.960336 14.4807 4.838761 14.8525 4.962982
active_travel 186.2379 120.632676 164.5655 135.080360 202.7291 121.530269 166.6385 105.797007 199.0038 121.909456

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.2201 14.887001 5.2513 14.595438 5.4895 14.35085 4.7392 15.798414 5.5224 14.437853
car 26.2924 29.115603 27.0762 28.545362 21.5008 33.28920 27.2019 22.348022 28.9406 29.477984
cycle 298.1956 11.162653 164.8199 40.896948 327.0943 11.04329 283.9012 8.553109 324.0573 11.220046
motorcycle 139.9595 29.893580 140.3217 29.944649 150.9450 28.28066 139.4331 21.395411 105.3967 74.496505
pedestrian 214.1139 130.673807 217.7107 124.682719 231.6662 131.05576 191.9229 116.067696 232.0671 134.128973
truck 24.2739 8.111185 24.2244 8.094645 24.6223 8.22760 23.6303 7.896115 24.6666 8.242393
active_travel 218.9732 141.836460 201.7222 165.579667 237.0407 142.09905 196.2875 124.620805 237.2663 145.349019

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.5259 7.203449 2.5157 6.992247 2.6480 6.922415 2.3157 7.719590 2.6426 6.908907
car 15.5293 17.196769 15.6716 16.521950 12.7451 19.732929 16.0830 13.213223 16.8196 17.131890
cycle 161.0458 6.028587 88.9833 22.079531 177.4228 5.990112 152.9658 4.608412 172.0944 5.958534
motorcycle 84.4837 18.044663 82.9163 17.694342 91.8111 17.201494 83.6579 12.836945 62.8652 44.434394
pedestrian 160.9879 98.250982 159.7060 91.463458 175.9039 99.510466 143.3802 86.710913 169.5092 97.972061
truck 9.3309 3.117948 9.3134 3.112079 9.3788 3.133954 9.2453 3.089320 9.3788 3.133944
active_travel 160.9912 104.279569 138.3270 113.542989 175.9894 105.500579 143.8351 91.319324 169.6553 103.930595

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.2254 15.95592 5.2354 15.46116 5.5118 15.71304 4.9670 19.96284 5.3235 13.69853
car 47.3674 33.24149 47.1116 32.33756 36.2805 56.31064 49.1223 30.32793 48.7879 28.57603
cycle 105.9265 25.26353 77.3923 49.56183 125.2599 27.38381 107.8698 23.47481 106.1548 22.33088
motorcycle 46.4110 398.89792 46.3104 387.47077 54.6388 438.73062 48.4627 366.31888 43.1071 403.45888
other 991.2027 15.95592 990.8817 15.19787 1126.5669 16.76539 1005.1078 14.66413 991.6509 13.87662
pedestrian 714.9708 393.57928 714.3061 372.77208 830.8452 442.72132 697.2599 406.35734 702.4436 362.27341
truck 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660 51.9721 13.29660
active_travel 530.8637 418.84281 363.3719 422.33391 625.5786 470.10513 537.0126 429.83214 529.6889 384.60429

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 11.8465 36.17391 11.8820 35.09017 12.7284 36.28587 11.1498 44.81193 12.0749 31.07154
car 85.0029 59.65331 84.9851 58.33403 65.2491 101.27252 88.0816 54.38129 87.4569 51.22522
cycle 172.7419 41.19906 126.1867 80.80969 204.0452 44.60754 176.0190 38.30557 173.0834 36.41009
motorcycle 57.5412 494.56104 57.9691 485.01715 67.4139 541.31030 60.1008 454.28880 53.4386 500.15575
other 2278.3809 36.67631 2289.1138 35.10980 2539.6301 37.79437 2308.9789 33.68710 2283.7423 31.95744
pedestrian 879.7333 484.27825 887.1728 462.98534 1018.9513 542.95486 858.5514 500.35672 863.6079 445.39117
truck 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721 97.8234 25.02721
active_travel 666.0179 525.47730 467.8758 543.79503 781.8814 587.56240 672.9800 538.66229 663.5516 481.80126

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.4188 7.385980 2.4240 7.158532 2.5138 7.166302 2.3169 9.311704 2.4631 6.338076
car 26.5951 18.663888 26.4173 18.132918 20.3187 31.536515 27.5969 17.038244 27.4130 16.056343
cycle 65.1250 15.532358 47.5869 30.474529 77.0653 16.847709 66.2892 14.425976 65.2736 13.731065
motorcycle 37.9161 325.885047 37.7761 316.065968 44.7572 359.384601 39.5640 299.056020 35.2123 329.567876
other 469.5758 7.559011 468.5998 7.187256 540.0373 8.036750 476.2616 6.948471 469.2049 6.565798
pedestrian 587.1891 323.237641 585.8046 305.711535 683.3515 364.128309 572.1556 333.447576 577.0905 297.624700
truck 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291 27.6121 7.064291
active_travel 429.3751 338.769999 289.2511 336.186064 506.9726 380.976017 434.6173 347.873552 428.8088 311.355765

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.7408 20.305130 5.8225 20.138646 6.3214 19.573502 4.9586 22.012412 6.0086 19.755832
car 28.7087 188.431605 29.3136 187.447199 27.7005 206.687237 30.1328 166.355287 30.2421 187.001715
cycle 474.2283 7.715949 186.4177 63.492035 518.2617 7.714745 445.9313 7.023981 498.8125 7.097137
motorcycle 358.5631 47.717055 368.3391 45.055619 395.0557 43.421691 350.5016 39.978451 212.6962 221.929489
other 117.1919 2.030513 119.2414 1.972113 129.8900 1.807239 110.2037 1.909432 121.8529 1.951326
pedestrian 489.3325 331.988873 494.7662 322.121475 531.3129 334.674302 455.3555 309.819854 499.9741 325.419866
truck 3.0095 6.294590 3.0291 6.335491 3.1710 6.632304 2.8247 5.907966 3.0731 6.427495
active_travel 488.9788 339.704822 388.8612 385.613510 531.0116 342.389047 455.1423 316.843836 499.9493 332.517003

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 7.6179 26.94441 7.8804 27.256364 8.3387 25.81976 6.6285 29.425428 8.0448 26.450757
car 31.9548 209.73736 33.3403 213.196085 30.7557 229.48377 33.5803 185.387893 34.1181 210.969123
cycle 662.7475 10.78326 260.4996 88.723609 723.2967 10.76686 623.7700 9.825166 702.8768 10.000577
motorcycle 428.8632 57.07249 450.6467 55.123565 470.5868 51.72353 420.4338 47.954965 256.6588 267.800487
other 222.3949 3.85330 229.0189 3.787703 246.2451 3.42616 209.2358 3.625301 232.3549 3.720882
pedestrian 532.0160 360.94763 549.9993 358.081450 575.4062 362.44871 496.7445 337.980537 552.8266 359.820101
truck 4.9630 10.38039 5.0690 10.601974 5.1910 10.85734 4.6967 9.823436 5.0915 10.649036
active_travel 535.0778 371.73088 450.5681 446.805059 578.8205 373.21556 499.6186 347.805703 556.0365 369.820678

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.3822 15.499978 4.3927 15.193457 4.8500 15.0174190 3.7616 16.698515 4.5468 14.949470
car 25.9230 170.147104 26.1899 167.472453 25.0661 187.0304722 27.1727 150.013439 27.0114 167.025113
cycle 339.5794 5.525139 133.4980 45.468100 371.5771 5.5312262 319.0312 5.025145 354.5762 5.044933
motorcycle 303.9327 40.446923 308.4202 37.726272 335.8845 36.9180129 296.3746 33.804691 179.3646 187.150905
other 61.8012 1.070792 62.3689 1.031509 68.5600 0.9539177 58.0887 1.006467 63.9675 1.024362
pedestrian 451.9891 306.653172 452.0807 294.330795 492.4122 310.1707063 419.2431 285.249326 455.6228 296.552778
truck 2.0143 4.212908 2.0060 4.195599 2.1282 4.4512857 1.8858 3.944319 2.0427 4.272328
active_travel 449.3565 312.178311 342.6607 339.798894 489.6225 315.7019324 416.9757 290.274472 453.4612 301.597710

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.9742 7.476387 0.9718 7.237916 1.0174 7.180194 0.8955 9.295213 0.9878 6.723061
car 12.5375 123.734206 12.5467 120.455848 11.7488 142.358348 13.0391 111.495589 12.9164 111.488393
cycle 93.7394 101.678865 74.4949 163.376648 101.6576 99.225450 95.0770 89.202782 95.3425 89.890486
motorcycle 65.6445 758.479472 65.4800 727.544172 70.1117 745.935634 67.2394 669.590133 59.5526 862.006978
pedestrian 416.1992 869.503820 414.9752 819.077306 445.1226 871.483409 404.0335 845.202901 414.5099 802.275552
truck 15.5967 49.717974 15.4600 49.282368 15.9640 50.888912 15.3861 49.046762 15.4046 49.105829
active_travel 305.9952 971.182685 235.7745 982.453953 330.8567 970.708860 308.3715 934.405683 309.9633 892.166038

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.9419 14.90248 1.9370 14.42699 2.0279 14.31175 1.7849 18.52660 1.9691 13.40217
car 14.8784 146.83770 14.8868 142.92195 13.9298 168.78540 15.4854 132.41332 15.3415 132.42038
cycle 108.3818 117.56143 86.1273 188.88783 117.4463 114.63635 109.9801 103.18510 110.3227 104.01398
motorcycle 71.0939 821.44420 70.9185 787.97193 75.8560 807.05118 72.8969 725.92940 64.5340 934.11069
pedestrian 449.5459 939.17024 448.2000 884.65637 479.9996 939.76733 436.8494 913.85094 448.3927 867.85497
truck 20.3956 65.01577 20.2096 64.42267 20.8915 66.59644 20.1116 64.11024 20.1378 64.19398
active_travel 332.9495 1056.73166 257.6348 1073.54420 359.3833 1054.40368 335.6411 1017.03604 337.6543 971.86895

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 0.4888 3.750821 0.4875 3.63122 0.5104 3.602306 0.4493 4.663631 0.4955 3.372566
car 10.5759 104.374776 10.5855 101.62676 9.9194 120.191601 10.9910 93.982045 10.8863 93.965400
cycle 81.0817 87.949090 64.4388 141.32224 87.9982 85.892824 82.1999 77.121280 82.4036 77.691407
motorcycle 60.6289 700.526943 60.4745 671.92864 64.8192 689.628006 62.0375 617.787756 54.9706 795.682677
pedestrian 386.1749 806.778652 385.0653 760.04126 413.6395 809.844257 374.5250 783.473657 384.0445 743.310361
truck 11.9393 38.059314 11.8390 37.73937 12.2114 38.926683 11.7833 37.561809 11.7963 37.603420
active_travel 281.9061 894.727741 216.3140 901.36350 305.3033 895.737081 284.0126 860.594937 285.2388 821.001768

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.9785 3.364374 1.9864 3.224167 2.0556 3.156327 1.9192 4.011435 2.0253 2.932734
car 71.6483 8.074498 71.7025 7.727964 56.3726 27.576121 73.8973 5.880706 75.2492 7.870325
cycle 159.9198 15.924705 119.4624 29.182443 227.5466 21.154623 153.1216 12.385897 180.9553 15.660343
motorcycle 103.9741 117.753097 103.7043 113.355938 141.8446 145.967923 107.5932 89.862289 95.9309 150.084834
other 16.2545 2.018625 15.9804 1.971744 22.6309 2.491687 15.5350 1.579892 19.1823 1.537186
pedestrian 342.3609 116.631639 340.6975 108.881919 483.6634 156.587457 307.7363 105.231877 378.5763 120.253429
truck 176.3293 7.177332 175.6625 7.150189 189.1378 7.698689 173.1165 7.046555 178.6335 7.271122
active_travel 301.0947 132.556343 244.8528 138.064362 426.5251 177.742080 278.1588 117.617773 336.2628 135.913772

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 4.4724 7.605404 4.4816 7.274259 5.0226 7.711990 4.2144 8.808556 4.6757 6.770730
car 120.2296 13.549432 120.2902 12.964666 94.0538 46.008873 123.9964 9.867566 126.5585 13.236761
cycle 213.3598 21.246227 159.3583 38.928265 304.4907 28.307980 204.4162 16.535076 241.1963 20.873763
motorcycle 121.9661 138.129480 121.6132 132.931598 167.2345 172.095922 126.2365 105.433192 112.4295 175.897008
other 33.9575 4.217129 33.3825 4.118907 47.3233 5.210361 32.4564 3.300769 40.0674 3.210817
pedestrian 406.2873 138.409360 404.2600 129.195551 575.0251 186.166071 366.0544 125.174028 448.0584 142.324183
truck 298.8338 12.163772 296.8366 12.082475 337.2404 13.727078 289.2458 11.773502 305.6898 12.442837
active_travel 362.6492 159.655587 298.1623 168.123816 514.6703 214.474051 335.1333 141.709104 403.7663 163.197946

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.0467 1.7798978 1.0514 1.7066168 1.0638 1.633492 1.0232 2.1385898 1.0653 1.5426390
car 42.7997 4.8233685 42.8425 4.6174898 33.8642 16.565573 44.1465 3.5131548 44.8500 4.6908658
cycle 119.8825 11.9378187 89.5677 21.8797256 170.0670 15.810838 114.7186 9.2795038 135.7771 11.7505036
motorcycle 88.6805 100.4327391 88.4763 96.7106605 120.3629 123.861753 91.7539 76.6331699 81.8915 128.1200288
other 7.7808 0.9662861 7.6501 0.9439097 10.8227 1.191595 7.4360 0.7562288 9.1838 0.7359488
pedestrian 291.7597 99.3934050 290.4162 92.8127527 410.0993 132.770852 261.9707 89.5821087 323.1666 102.6527483
truck 109.5964 4.4610263 109.3738 4.4519639 113.8680 4.634897 108.5198 4.4172047 110.3708 4.4925471
active_travel 252.8830 111.3312237 203.4035 114.6924783 356.5494 148.581690 233.8016 98.8616125 283.0439 114.4032519

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 60.8717 7.4739810 60.8618 7.0655719 72.3618 7.5272325 52.9652 9.0193134 62.1992 5.9903494
car 34.3764 1.9668371 34.4554 1.8708332 29.5170 3.1433290 37.5675 1.5991158 35.9305 1.5781550
cycle 90.1872 1.5734697 68.6382 2.7741536 105.4390 1.6890972 89.7365 1.4836250 87.0860 1.3859909
motorcycle 158.1984 29.8959240 157.7626 28.2118567 185.0626 30.3993710 165.8556 24.5313742 139.7390 33.0440778
other 944.2593 2.7535720 927.9133 2.7059050 1307.8646 1.5431918 1045.9605 1.8159822 1128.5555 1.2365035
pedestrian 274.7307 14.9479620 273.1192 14.0650000 318.0735 16.3371460 269.6336 14.5421738 262.7634 13.3901600
truck 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674 22.8334 0.3933674
active_travel 229.9235 16.5214317 183.2041 16.8391536 267.5213 18.0262432 227.4253 16.0257989 220.9545 14.7761509

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 126.3914 15.518671 126.1745 14.647852 146.2642 15.214729 111.1669 18.930351 129.7942 12.500369
car 130.9258 7.490879 131.1315 7.120082 114.6566 12.210016 140.8380 5.994979 136.4504 5.993226
cycle 262.8892 4.586549 199.7214 8.072151 305.2421 4.889876 261.0403 4.315812 254.8538 4.056048
motorcycle 226.3313 42.771502 225.0396 40.242663 264.3827 43.428930 238.1814 35.228943 198.5030 46.939990
other 2187.2290 6.378219 2144.9314 6.254874 3009.3025 3.550773 2417.8896 4.197906 2622.4641 2.873307
pedestrian 444.3917 24.179136 440.2592 22.672318 508.3876 26.112211 434.6980 23.444608 427.9274 21.806750
truck 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586 168.7153 2.906586
active_travel 400.3229 28.765685 334.4891 30.744469 460.0913 31.002087 393.9536 27.760421 386.7381 25.862798

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 33.9936 4.1738200 34.0332 3.9509796 40.6766 4.2312714 29.6029 5.0410017 34.6062 3.3328960
car 10.5659 0.6045224 10.5998 0.5755424 8.9776 0.9560430 11.6552 0.4961222 11.0517 0.4854167
cycle 31.4156 0.5480992 23.9381 0.9675061 36.8781 0.5907754 31.2921 0.5173571 30.2490 0.4814190
motorcycle 114.0822 21.5589615 113.9647 20.3797098 132.9838 21.8446353 119.1787 17.6274972 101.4343 23.9861576
other 416.5727 1.2147752 409.9006 1.1953187 578.8183 0.6829664 461.8586 0.8018725 496.9228 0.5444542
pedestrian 176.5824 9.6077603 175.9434 9.0606710 205.4047 10.5501633 173.4401 9.3541602 168.4042 8.5817081
truck 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370 3.0902 0.0532370
active_travel 141.3359 10.1558594 109.1031 10.0281771 165.3388 11.1409387 140.0886 9.8715173 135.5250 9.0631271

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 3.0348 33.436231 3.0429 32.663195 3.2326 33.263574 2.8201 34.198235 3.0492 31.527419
car 13.5455 68.839299 13.5430 67.717436 12.6620 77.917937 14.2864 60.400944 13.6673 65.267686
cycle 48.3105 9.834186 32.6551 23.585706 51.4479 9.764190 48.8458 8.496937 48.1792 9.147320
motorcycle 68.9229 158.330387 68.7374 154.936563 73.1326 153.877864 69.8180 133.440444 60.8442 208.682041
other 173.1908 8.850767 172.5481 8.678959 184.0232 8.494899 173.7875 7.591910 170.0274 8.635159
pedestrian 254.0872 449.422279 255.7785 426.879512 269.2281 449.128993 246.5273 426.575584 252.2109 420.495915
truck 2.9925 4.917093 2.9925 4.917093 2.9925 4.916529 2.9925 4.917093 2.9925 4.917093
active_travel 232.8492 459.256464 188.3839 450.465218 246.9826 458.893182 228.4694 435.072521 231.3518 429.643234

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 5.0148 55.25121 5.0757 54.48439 5.3084 54.62468 4.6791 56.74194 5.0465 52.17874
car 19.5909 99.56232 19.8234 99.12059 18.3123 112.68796 20.5829 87.02193 19.8006 94.55717
cycle 92.5169 18.83293 62.5297 45.16314 98.4217 18.67927 93.5048 16.26555 92.4184 17.54659
motorcycle 87.5467 201.11315 88.4152 199.29096 92.5685 194.77292 88.6698 169.47118 77.3922 265.43770
other 345.3191 17.64723 346.7750 17.44236 366.3521 16.91159 346.2386 15.12544 339.3743 17.23576
pedestrian 300.6766 531.82836 306.3853 511.33941 317.5689 529.77157 291.3671 504.16357 299.6442 499.57851
truck 7.3194 12.02689 7.3194 12.02689 7.3195 12.02551 7.3194 12.02689 7.3194 12.02689
active_travel 279.1927 550.66129 232.7286 556.50255 295.1838 548.45083 273.2926 520.42912 278.4585 517.12510

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 1.8806 20.720318 1.8817 20.199333 2.0132 20.716045 1.7409 21.111817 1.8861 19.500981
car 9.5097 48.329147 9.4859 47.431147 8.8852 54.676824 10.0574 42.521502 9.5766 45.732597
cycle 25.2715 5.144323 17.0834 12.338735 26.9353 5.111988 25.5596 4.446194 25.1647 4.777785
motorcycle 55.8506 128.300704 55.5820 125.283867 59.3580 124.894961 56.5553 108.092021 49.2816 169.024942
other 87.3873 4.465854 86.9003 4.370978 92.9438 4.290484 87.7236 3.832205 85.6923 4.352046
pedestrian 217.2890 384.334659 218.3292 364.378869 230.6929 384.844254 210.8969 364.922921 215.0013 358.458527
truck 1.2235 2.010313 1.2235 2.010313 1.2235 2.010082 1.2235 2.010313 1.2235 2.010313
active_travel 197.4711 389.478982 157.5428 376.717604 209.8798 389.956241 193.9666 369.369115 195.5933 363.236312

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 10.2700 0.9834186 10.0958 0.9086892 11.2264 0.915474 8.2552 1.045900 11.8024 0.8824707
cycle 1208.0065 2.6224495 832.1633 16.1684445 1225.1761 2.538826 1170.9300 2.541961 1403.0156 1.7074899
motorcycle 214.6317 19.9961773 214.1271 18.6959779 235.3091 17.495752 219.2540 16.431953 193.6330 25.4488205
pedestrian 550.5646 14.4234721 535.6025 13.3185927 570.2174 14.306885 499.6150 13.716474 591.9737 14.2582304
truck 78.5533 1.6390309 77.3531 1.6139892 79.2558 1.653690 75.9920 1.585590 79.9932 1.6690753
active_travel 600.8752 17.0459216 665.6821 29.4870372 620.1840 16.845711 548.8084 16.258435 630.9830 15.9657203

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 36.0446 3.451483 35.4689 3.192432 39.3819 3.211454 29.1092 3.688030 41.2933 3.087531
cycle 3532.0785 7.667755 2359.3051 45.839912 3575.7694 7.409757 3406.8627 7.395925 4258.5812 5.182754
motorcycle 369.5604 34.430126 368.8601 32.206102 404.8485 30.101376 378.9871 28.403125 332.6091 43.714191
pedestrian 983.1468 25.756087 957.9883 23.821874 1015.7276 25.484838 898.9343 24.679420 1052.4154 25.348391
truck 296.1554 6.179345 290.8719 6.069104 299.1930 6.242725 285.0736 5.948123 302.3334 6.308251
active_travel 1178.2030 33.423842 1572.6438 69.661786 1211.0323 32.894595 1082.7129 32.075345 1206.6248 30.531145

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
bus 2.9352 0.2810606 2.8827 0.2594591 3.2097 0.2617408 2.3491 0.2976222 3.3831 0.2529531
cycle 423.7689 0.9199558 300.0079 5.8289768 430.6623 0.8924242 412.7916 0.8961252 473.2009 0.5758922
motorcycle 126.3232 11.7689127 125.9882 11.0003494 138.5241 10.2995689 128.5680 9.6355052 114.2874 15.0205813
pedestrian 311.0117 8.1477603 302.1470 7.5133574 322.9447 8.1027558 280.1617 7.6915840 335.7929 8.0878790
truck 21.2633 0.4436635 20.9906 0.4379742 21.4259 0.4470566 20.6714 0.4313132 21.5986 0.4506596
active_travel 319.6404 9.0677160 301.2087 13.3423343 331.1624 8.9951800 289.8807 8.5877092 342.4019 8.6637712

Change in deaths due to injury per Billion km across cities

# of deaths due to injury per 100,000 people

[1] “antofagasta” [1] NA

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.51 0.50 0.46 0.60 0.48 2.55
car 3.60 3.49 3.85 3.13 3.34 17.41
cycle 0.09 0.48 0.08 0.07 0.08 0.80
motorcycle 0.86 0.80 0.82 0.80 4.31 7.59
pedestrian 1.89 1.74 1.91 1.87 1.75 9.16
truck 0.86 0.85 0.86 0.85 0.85 4.27
active_travel 1.97 2.22 1.99 1.94 1.82 9.94
Total 9.78 10.08 9.97 9.26 12.63 51.72

[1] “ub”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.70 1.65 1.52 1.99 1.58 8.44
car 10.46 10.14 11.16 9.15 9.68 50.59
cycle 0.80 4.85 0.78 0.68 0.73 7.84
motorcycle 3.31 3.09 3.17 3.07 16.32 28.96
pedestrian 6.60 6.11 6.64 6.58 6.13 32.06
truck 3.19 3.17 3.23 3.11 3.14 15.84
active_travel 7.40 10.96 7.42 7.27 6.86 39.91
Total 33.46 39.97 33.92 31.85 44.44 183.64

[1] “lb”

antofagasta
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.15 0.14 0.19 0.15 0.79
car 1.33 1.29 1.42 1.15 1.23 6.42
cycle 0.01 0.05 0.01 0.01 0.01 0.09
motorcycle 0.24 0.22 0.23 0.22 1.20 2.11
pedestrian 0.61 0.56 0.62 0.60 0.56 2.95
truck 0.27 0.27 0.27 0.27 0.27 1.35
active_travel 0.62 0.61 0.63 0.61 0.57 3.04
Total 3.24 3.15 3.32 3.05 3.99 16.75

[1] “arica” [1] NA

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.29 0.28 0.24 0.38 0.25 1.44
car 5.99 5.72 6.35 5.20 5.45 28.71
cycle 0.73 1.82 0.71 0.64 0.65 4.55
motorcycle 1.32 1.23 1.22 1.26 7.41 12.44
pedestrian 6.72 6.28 6.67 6.53 6.20 32.40
truck 1.61 1.60 1.61 1.60 1.60 8.02
active_travel 7.45 8.10 7.38 7.16 6.85 36.94
Total 24.11 25.03 24.18 22.77 28.41 124.50

[1] “ub”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.20 2.07 1.82 2.88 1.88 10.85
car 9.77 9.31 10.30 8.57 8.87 46.82
cycle 1.96 4.87 1.90 1.73 1.73 12.19
motorcycle 3.52 3.28 3.27 3.37 19.50 32.94
pedestrian 11.85 11.10 11.62 11.81 10.99 57.37
truck 3.87 3.83 3.91 3.80 3.79 19.20
active_travel 13.80 15.96 13.51 13.54 12.72 69.53
Total 46.97 50.42 46.33 45.70 59.48 248.90

[1] “lb”

arica
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.03 0.05 0.03 0.19
car 3.83 3.65 4.07 3.29 3.49 18.33
cycle 0.28 0.69 0.27 0.24 0.24 1.72
motorcycle 0.50 0.47 0.46 0.47 2.84 4.74
pedestrian 4.16 3.88 4.16 3.96 3.83 19.99
truck 0.80 0.79 0.80 0.79 0.79 3.97
active_travel 4.44 4.56 4.43 4.20 4.07 21.70
Total 14.05 14.08 14.22 13.00 15.29 70.64

[1] “belo_horizonte” [1] NA

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.15 0.13 0.66
car 2.39 2.33 2.65 2.15 2.33 11.85
cycle 0.38 1.50 0.34 0.35 0.38 2.95
motorcycle 3.34 3.28 3.06 3.06 4.82 17.56
other 1.32 1.28 1.17 1.15 1.24 6.16
pedestrian 4.26 4.07 4.01 4.41 4.45 21.20
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.18 0.18 0.18 0.18 0.19 0.91
active_travel 4.64 5.57 4.35 4.77 4.82 24.15
Total 16.64 18.34 15.88 16.22 18.36 85.44

[1] “ub”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.22 0.21 0.20 0.25 0.21 1.09
car 2.72 2.66 3.01 2.44 2.65 13.48
cycle 0.52 2.04 0.46 0.48 0.51 4.01
motorcycle 3.79 3.75 3.47 3.47 5.46 19.94
other 1.52 1.48 1.35 1.32 1.43 7.10
pedestrian 4.77 4.61 4.49 4.94 4.99 23.80
rail 0.03 0.03 0.03 0.03 0.03 0.15
truck 0.28 0.28 0.28 0.28 0.29 1.41
active_travel 5.29 6.65 4.95 5.42 5.50 27.81
Total 19.14 21.71 18.24 18.63 21.07 98.79

[1] “lb”

belo_horizonte
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.10 0.08 0.41
car 2.12 2.06 2.35 1.90 2.05 10.48
cycle 0.28 1.10 0.25 0.26 0.28 2.17
motorcycle 2.96 2.89 2.72 2.71 4.27 15.55
other 1.15 1.12 1.03 1.00 1.09 5.39
pedestrian 3.82 3.62 3.60 3.96 3.98 18.98
rail 0.00 0.00 0.00 0.00 0.00 0.00
truck 0.12 0.12 0.12 0.12 0.12 0.60
active_travel 4.10 4.73 3.85 4.22 4.26 21.16
Total 14.63 15.72 13.99 14.27 16.13 74.74

[1] “bogota” [1] NA

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.15 0.12 0.65
car 0.36 0.35 0.41 0.31 0.35 1.78
cycle 1.10 1.50 1.04 0.97 1.08 5.69
motorcycle 3.42 3.36 3.30 2.93 4.08 17.09
pedestrian 2.92 2.78 2.80 2.89 2.91 14.30
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 4.02 4.27 3.84 3.86 3.99 19.98
Total 11.98 12.42 11.54 11.14 12.56 59.64

[1] “ub”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.23 0.22 0.22 0.26 0.22 1.15
car 0.56 0.55 0.63 0.49 0.54 2.77
cycle 1.41 1.94 1.34 1.24 1.38 7.31
motorcycle 4.32 4.26 4.17 3.71 5.20 21.66
pedestrian 3.64 3.47 3.48 3.61 3.63 17.83
truck 0.08 0.08 0.08 0.08 0.09 0.41
active_travel 5.06 5.41 4.82 4.85 5.01 25.15
Total 15.30 15.93 14.74 14.24 16.07 76.28

[1] “lb”

bogota
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.07 0.07 0.08 0.07 0.36
car 0.23 0.23 0.26 0.20 0.23 1.15
cycle 0.86 1.16 0.82 0.76 0.85 4.45
motorcycle 2.72 2.67 2.64 2.34 3.23 13.60
pedestrian 2.35 2.24 2.26 2.33 2.34 11.52
truck 0.01 0.01 0.01 0.01 0.01 0.05
active_travel 3.22 3.40 3.08 3.09 3.19 15.98
Total 9.46 9.78 9.14 8.81 9.92 47.11

[1] “buenos_aires” [1] NA

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.04 0.04 0.03 0.05 0.04 0.20
car 0.97 0.94 1.16 0.78 0.96 4.81
cycle 0.17 0.35 0.17 0.15 0.19 1.03
motorcycle 2.35 2.29 2.26 1.81 4.36 13.07
pedestrian 2.85 2.70 2.79 2.79 3.33 14.46
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 3.02 3.05 2.96 2.94 3.52 15.49
Total 9.43 9.40 9.40 8.55 12.43 49.21

[1] “ub”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.11 0.11 0.14 0.11 0.59
car 1.33 1.29 1.58 1.07 1.34 6.61
cycle 0.37 0.77 0.35 0.32 0.40 2.21
motorcycle 3.05 3.01 2.92 2.35 5.66 16.99
pedestrian 3.61 3.47 3.53 3.55 4.23 18.39
truck 0.10 0.10 0.10 0.10 0.10 0.50
active_travel 3.98 4.24 3.88 3.87 4.63 20.60
Total 12.56 12.99 12.47 11.40 16.47 65.89

[1] “lb”

buenos_aires
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.02 0.01 0.06
car 0.72 0.70 0.86 0.58 0.70 3.56
cycle 0.08 0.17 0.08 0.07 0.10 0.50
motorcycle 1.84 1.78 1.77 1.41 3.40 10.20
pedestrian 2.27 2.15 2.24 2.23 2.64 11.53
truck 0.01 0.01 0.01 0.01 0.01 0.05
active_travel 2.36 2.31 2.32 2.30 2.74 12.03
Total 7.29 7.13 7.29 6.62 9.60 37.93

[1] “cali” [1] NA

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.02 0.02 0.02 0.02 0.02 0.10
car 0.70 0.68 0.79 0.63 0.66 3.46
cycle 1.82 2.77 1.70 1.60 1.79 9.68
motorcycle 9.66 9.39 9.40 8.73 10.45 47.63
other 0.02 0.02 0.01 0.01 0.02 0.08
pedestrian 5.54 5.25 5.30 5.32 5.46 26.87
active_travel 7.37 8.02 6.99 6.92 7.25 36.55
Total 25.13 26.15 24.21 23.23 25.65 124.37

[1] “ub”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.13 0.12 0.17 0.12 0.67
car 1.10 1.07 1.23 0.98 1.04 5.42
cycle 2.43 3.71 2.26 2.14 2.38 12.92
motorcycle 11.44 11.17 11.10 10.35 12.36 56.42
other 0.13 0.12 0.11 0.10 0.13 0.59
pedestrian 6.65 6.33 6.35 6.41 6.54 32.28
active_travel 9.09 10.04 8.61 8.55 8.92 45.21
Total 30.97 32.57 29.78 28.70 31.49 153.51

[1] “lb”

cali
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.00 0.00 0.00
car 0.46 0.45 0.52 0.41 0.43 2.27
cycle 1.41 2.13 1.31 1.23 1.39 7.47
motorcycle 8.27 8.02 8.05 7.46 8.95 40.75
other 0.00 0.00 0.00 0.00 0.00 0.00
pedestrian 4.66 4.40 4.45 4.46 4.60 22.57
active_travel 6.06 6.53 5.76 5.69 5.99 30.03
Total 20.86 21.53 20.09 19.25 21.36 103.09

[1] “copiapo” [1] NA

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.63 0.61 0.53 0.87 0.57 3.21
car 4.60 4.44 4.79 4.05 4.33 22.21
cycle 1.05 3.86 0.99 1.01 1.23 8.14
motorcycle 2.30 2.14 2.08 2.26 13.14 21.92
pedestrian 2.30 2.16 2.22 2.40 2.71 11.79
truck 0.84 0.83 0.83 0.83 0.90 4.23
active_travel 3.35 6.02 3.21 3.41 3.94 19.93
Total 15.07 20.06 14.65 14.83 26.82 91.43

[1] “ub”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.99 1.92 1.69 2.76 1.81 10.17
car 8.70 8.37 8.96 7.81 9.58 43.42
cycle 3.34 12.29 3.11 3.28 5.39 27.41
motorcycle 6.08 5.65 5.46 6.05 34.87 58.11
pedestrian 5.93 5.55 5.63 6.31 10.07 33.49
truck 3.79 3.73 3.76 3.80 4.95 20.03
active_travel 9.27 17.84 8.74 9.59 15.46 60.90
Total 39.10 55.35 37.35 39.60 82.13 253.53

[1] “lb”

copiapo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.20 0.19 0.17 0.27 0.18 1.01
car 2.86 2.76 2.99 2.51 2.63 13.75
cycle 0.35 1.30 0.34 0.33 0.35 2.67
motorcycle 0.88 0.82 0.80 0.85 4.99 8.34
pedestrian 0.98 0.92 0.96 1.00 0.98 4.84
truck 0.22 0.22 0.22 0.22 0.23 1.11
active_travel 1.33 2.22 1.30 1.33 1.33 7.51
Total 6.82 8.43 6.78 6.51 10.69 39.23

[1] “coquimbo_laserena” [1] NA

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.43 0.42 0.39 0.52 0.40 2.16
car 4.39 4.24 4.60 3.89 4.02 21.14
cycle 0.43 1.47 0.41 0.39 0.39 3.09
motorcycle 1.80 1.72 1.65 1.66 11.41 18.24
pedestrian 3.02 2.82 2.98 2.91 2.76 14.49
truck 0.29 0.29 0.29 0.29 0.29 1.45
active_travel 3.45 4.29 3.39 3.30 3.15 17.58
Total 13.81 15.25 13.71 12.96 22.42 78.15

[1] “ub”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.39 1.35 1.26 1.68 1.28 6.96
car 6.69 6.46 7.00 5.96 6.12 32.23
cycle 1.05 3.57 0.99 0.95 0.96 7.52
motorcycle 3.40 3.25 3.10 3.16 21.77 34.68
pedestrian 4.77 4.47 4.68 4.66 4.37 22.95
truck 0.78 0.78 0.78 0.78 0.78 3.90
active_travel 5.82 8.03 5.67 5.61 5.32 30.45
Total 23.90 27.91 23.48 22.80 40.60 138.69

[1] “lb”

coquimbo_laserena
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.14 0.13 0.17 0.13 0.71
car 2.95 2.85 3.10 2.60 2.70 14.20
cycle 0.18 0.61 0.17 0.16 0.16 1.28
motorcycle 0.96 0.92 0.88 0.88 6.04 9.68
pedestrian 1.95 1.82 1.93 1.86 1.77 9.33
truck 0.11 0.11 0.11 0.11 0.11 0.55
active_travel 2.13 2.43 2.10 2.02 1.94 10.62
Total 8.42 8.88 8.42 7.80 12.85 46.37

[1] “gran_valparaiso” [1] NA

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.06 0.06 0.08 0.06 0.33
car 2.13 2.09 2.29 1.88 2.02 10.41
cycle 0.07 0.25 0.06 0.06 0.06 0.50
motorcycle 0.86 0.85 0.75 0.68 5.39 8.53
other 0.03 0.03 0.03 0.03 0.03 0.15
pedestrian 2.69 2.58 2.66 2.68 2.56 13.17
truck 0.40 0.40 0.40 0.40 0.40 2.00
active_travel 2.76 2.82 2.73 2.73 2.62 13.66
Total 9.01 9.08 8.98 8.54 13.14 48.75

[1] “ub”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.50 0.50 0.46 0.57 0.49 2.52
car 3.35 3.56 3.57 2.95 3.57 17.00
cycle 0.29 1.06 0.28 0.24 0.28 2.15
motorcycle 1.61 1.66 1.39 1.26 10.07 15.99
other 0.26 0.26 0.24 0.24 0.25 1.25
pedestrian 4.23 4.41 4.12 4.23 4.61 21.60
truck 0.71 0.71 0.71 0.71 0.71 3.55
active_travel 4.52 5.47 4.39 4.48 4.89 23.75
Total 15.47 17.63 15.16 14.68 24.87 87.81

[1] “lb”

gran_valparaiso
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.01 0.01 0.01 0.01 0.01 0.05
car 1.45 1.40 1.56 1.28 1.34 7.03
cycle 0.02 0.06 0.02 0.01 0.01 0.12
motorcycle 0.47 0.46 0.41 0.37 2.95 4.66
other 0.00 0.00 0.00 0.00 0.00 0.00
pedestrian 1.89 1.77 1.88 1.86 1.73 9.13
truck 0.22 0.22 0.22 0.22 0.22 1.10
active_travel 1.90 1.83 1.90 1.87 1.75 9.25
Total 5.96 5.75 6.00 5.62 8.01 31.34

[1] “iquique_altohospicio” [1] NA

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.32 0.38 0.29 0.37 0.33 1.69
car 3.41 3.53 3.56 3.05 3.29 16.84
cycle 0.32 2.03 0.29 0.30 0.34 3.28
motorcycle 1.17 1.22 1.07 1.10 7.46 12.02
pedestrian 2.03 2.26 1.97 2.06 2.15 10.47
truck 0.53 0.53 0.53 0.53 0.53 2.65
active_travel 2.35 4.29 2.26 2.36 2.49 13.75
Total 10.13 14.24 9.97 9.77 16.59 60.70

[1] “ub”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.28 1.93 1.14 1.49 1.61 7.45
car 6.35 8.07 6.55 5.71 7.11 33.79
cycle 1.22 7.76 1.09 1.15 1.57 12.79
motorcycle 3.11 3.92 2.82 2.94 19.27 32.06
pedestrian 4.77 7.20 4.55 4.92 6.50 27.94
truck 1.30 1.30 1.30 1.30 1.30 6.50
active_travel 5.99 14.96 5.64 6.08 8.07 40.74
Total 24.02 45.14 23.09 23.59 45.43 161.27

[1] “lb”

iquique_altohospicio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.09 0.09 0.08 0.10 0.08 0.44
car 2.08 2.04 2.18 1.85 1.93 10.08
cycle 0.09 0.55 0.08 0.08 0.09 0.89
motorcycle 0.46 0.45 0.42 0.43 3.01 4.77
pedestrian 0.97 0.95 0.95 0.97 0.93 4.77
truck 0.22 0.22 0.22 0.22 0.22 1.10
active_travel 1.05 1.51 1.03 1.05 1.01 5.65
Total 4.96 5.81 4.96 4.70 7.27 27.70

[1] “medellin” [1] NA

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.01 0.01 0.01 0.01 0.01 0.05
bus 0.15 0.15 0.14 0.19 0.14 0.77
car 0.24 0.24 0.31 0.21 0.23 1.23
cycle 0.55 1.82 0.51 0.46 0.54 3.88
motorcycle 6.92 6.83 6.83 6.20 8.24 35.02
pedestrian 4.15 3.94 4.11 4.12 4.24 20.56
truck 0.06 0.06 0.06 0.06 0.06 0.30
active_travel 4.70 5.76 4.62 4.58 4.78 24.44
Total 16.78 18.81 16.59 15.83 18.24 86.25

[1] “ub”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.08 0.08 0.07 0.06 0.08 0.37
bus 0.32 0.31 0.30 0.38 0.30 1.61
car 0.43 0.42 0.54 0.37 0.41 2.17
cycle 0.82 2.74 0.76 0.69 0.81 5.82
motorcycle 8.00 8.00 7.90 7.17 9.51 40.58
pedestrian 4.93 4.74 4.88 4.90 5.02 24.47
truck 0.20 0.20 0.20 0.19 0.20 0.99
active_travel 5.75 7.48 5.64 5.59 5.83 30.29
Total 20.53 23.97 20.29 19.35 22.16 106.30

[1] “lb”

medellin
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
auto_rickshaw 0.00 0.00 0.00 0.00 0.00 0.00
bus 0.08 0.08 0.08 0.10 0.08 0.42
car 0.15 0.14 0.18 0.13 0.14 0.74
cycle 0.37 1.22 0.35 0.31 0.37 2.62
motorcycle 6.02 5.91 5.95 5.40 7.18 30.46
pedestrian 3.51 3.32 3.48 3.49 3.60 17.40
truck 0.02 0.02 0.02 0.02 0.02 0.10
active_travel 3.88 4.53 3.83 3.80 3.96 20.00
Total 14.03 15.22 13.89 13.25 15.35 71.74

[1] “mexico_city” [1] NA

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.16 0.16 0.15 0.19 0.16 0.82
car 4.19 4.12 4.62 3.62 4.66 21.21
cycle 0.47 1.61 0.44 0.42 0.61 3.55
motorcycle 1.49 1.48 1.41 1.28 4.15 9.81
other 0.71 0.70 0.68 0.61 0.98 3.68
pedestrian 7.30 7.07 7.02 7.27 10.19 38.85
truck 0.14 0.14 0.14 0.14 0.14 0.70
active_travel 7.77 8.68 7.46 7.69 10.80 42.40
Total 22.23 23.96 21.92 21.22 31.69 121.02

[1] “ub”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.39 0.38 0.37 0.45 0.44 2.03
car 5.00 4.97 5.50 4.32 5.64 25.43
cycle 0.78 2.75 0.73 0.70 0.99 5.95
motorcycle 2.03 2.06 1.92 1.75 5.69 13.45
other 1.08 1.07 1.03 0.92 1.44 5.54
pedestrian 8.66 8.57 8.31 8.63 12.08 46.25
truck 0.26 0.26 0.26 0.26 0.26 1.30
active_travel 9.44 11.32 9.04 9.33 13.07 52.20
Total 27.64 31.38 27.16 26.36 39.61 152.15

[1] “lb”

mexico_city
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.08 0.07 0.09 0.08 0.40
car 3.53 3.46 3.90 3.05 3.87 17.81
cycle 0.29 0.98 0.27 0.26 0.39 2.19
motorcycle 1.10 1.08 1.05 0.95 3.05 7.23
other 0.49 0.48 0.47 0.42 0.68 2.54
pedestrian 6.20 5.93 5.97 6.17 8.64 32.91
truck 0.07 0.07 0.07 0.07 0.07 0.35
active_travel 6.49 6.91 6.24 6.43 9.03 35.10
Total 18.25 18.99 18.04 17.44 25.81 98.53

[1] “montevideo” [1] NA

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 1.43 1.38 1.62 1.20 1.37 7.00
cycle 0.45 1.32 0.44 0.40 0.43 3.04
motorcycle 4.74 4.51 4.60 3.80 7.37 25.02
pedestrian 1.92 1.79 1.87 1.88 1.89 9.35
truck 0.10 0.10 0.10 0.10 0.10 0.50
active_travel 2.37 3.11 2.31 2.28 2.33 12.40
Total 11.04 12.24 10.97 9.70 13.52 57.47

[1] “ub”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.23 0.30 0.24 1.28
car 2.41 2.33 2.72 2.03 2.33 11.82
cycle 1.05 3.16 1.01 0.93 1.01 7.16
motorcycle 6.78 6.45 6.53 5.48 10.54 35.78
pedestrian 2.97 2.76 2.87 2.92 2.99 14.51
truck 0.33 0.33 0.33 0.33 0.33 1.65
active_travel 4.02 5.92 3.88 3.86 4.00 21.68
Total 17.82 21.20 17.57 15.85 21.44 93.88

[1] “lb”

montevideo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.00 0.00 0.00 0.01 0.00 0.01
car 0.87 0.84 0.99 0.73 0.83 4.26
cycle 0.20 0.58 0.20 0.18 0.19 1.35
motorcycle 3.42 3.26 3.34 2.73 5.31 18.06
pedestrian 1.28 1.19 1.26 1.25 1.24 6.22
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 1.48 1.78 1.46 1.43 1.43 7.58
Total 7.28 7.68 7.28 6.36 9.03 37.63

[1] “osorno” [1] NA

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 6.73 6.49 7.09 6.02 6.19 32.52
cycle 0.20 0.50 0.19 0.17 0.18 1.24
motorcycle 0.99 0.92 0.94 0.94 5.72 9.51
pedestrian 4.95 4.64 4.84 4.95 4.54 23.92
truck 1.39 1.39 1.39 1.39 1.39 6.95
active_travel 5.15 5.14 5.02 5.13 4.72 25.16
Total 19.41 19.08 19.47 18.60 22.74 99.30

[1] “ub”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 11.84 11.41 12.44 10.67 10.88 57.24
cycle 1.57 3.99 1.47 1.39 1.44 9.86
motorcycle 3.76 3.49 3.58 3.57 22.01 36.41
pedestrian 9.64 9.05 9.37 9.77 8.88 46.71
truck 2.95 2.95 2.95 2.95 2.95 14.75
active_travel 11.21 13.04 10.84 11.16 10.32 56.57
Total 40.97 43.93 40.65 39.51 56.48 221.54

[1] “lb”

osorno
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 4.00 3.86 4.23 3.56 3.68 19.33
cycle 0.02 0.06 0.02 0.02 0.02 0.14
motorcycle 0.26 0.24 0.25 0.25 1.50 2.50
pedestrian 2.60 2.44 2.56 2.58 2.38 12.56
truck 0.65 0.65 0.65 0.65 0.65 3.25
active_travel 2.63 2.50 2.58 2.60 2.41 12.72
Total 10.16 9.75 10.29 9.66 10.64 50.50

[1] “puerto_montt” [1] NA

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.24 0.29 0.24 1.28
car 3.85 3.73 4.01 3.52 3.61 18.72
cycle 0.26 1.66 0.23 0.24 0.25 2.64
motorcycle 0.51 0.47 0.51 0.45 5.54 7.48
pedestrian 7.57 7.08 7.29 7.65 7.03 36.62
truck 0.90 0.90 0.90 0.90 0.90 4.50
active_travel 7.82 8.75 7.52 7.89 7.27 39.25
Total 21.17 22.84 20.70 20.94 24.84 110.49

[1] “ub”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.93 1.87 1.77 2.15 1.78 9.50
car 6.81 6.60 7.08 6.25 6.39 33.13
cycle 1.11 7.22 1.01 1.06 1.07 11.47
motorcycle 2.26 2.07 2.24 2.00 26.48 35.05
pedestrian 12.70 11.91 12.14 13.00 11.84 61.59
truck 1.91 1.91 1.91 1.91 1.91 9.55
active_travel 13.81 19.14 13.16 14.05 12.91 73.07
Total 40.53 50.72 39.31 40.42 62.38 233.36

[1] “lb”

puerto_montt
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 2.25 2.18 2.35 2.05 2.11 10.94
cycle 0.06 0.38 0.05 0.06 0.06 0.61
motorcycle 0.13 0.12 0.13 0.11 1.33 1.82
pedestrian 4.83 4.52 4.69 4.84 4.48 23.36
truck 0.42 0.42 0.42 0.42 0.42 2.10
active_travel 4.89 4.90 4.74 4.89 4.54 23.96
Total 12.61 12.55 12.41 12.41 12.97 62.95

[1] “san_antonio” [1] NA

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 5.11 4.91 4.88 4.72 5.22 24.84
cycle 0.41 2.22 0.36 0.39 0.47 3.85
motorcycle 0.34 0.32 0.26 0.32 2.35 3.59
other 0.39 0.38 0.14 0.33 0.44 1.68
pedestrian 4.27 4.06 3.80 4.71 4.76 21.60
truck 2.08 2.08 2.08 2.08 2.08 10.40
active_travel 4.67 6.28 4.16 5.10 5.23 25.44
Total 17.27 20.25 15.68 17.65 20.55 91.40

[1] “ub”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 30.62 29.33 28.74 28.17 35.92 152.78
cycle 5.87 31.95 5.02 5.62 7.60 56.06
motorcycle 4.14 3.86 3.07 3.84 30.28 45.19
other 4.85 4.72 2.19 4.04 5.98 21.78
pedestrian 28.48 27.04 25.06 31.21 36.67 148.46
truck 10.46 10.46 10.46 10.46 10.46 52.30
active_travel 34.34 58.99 30.07 36.83 44.27 204.50
Total 118.76 166.35 104.61 120.17 171.18 681.07

[1] “lb”

san_antonio
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 0.95 0.91 0.92 0.88 0.90 4.56
cycle 0.03 0.16 0.03 0.03 0.03 0.28
motorcycle 0.03 0.03 0.02 0.03 0.19 0.30
other 0.03 0.03 0.01 0.03 0.04 0.14
pedestrian 0.75 0.71 0.68 0.83 0.76 3.73
truck 0.44 0.44 0.44 0.44 0.44 2.20
active_travel 0.78 0.88 0.70 0.86 0.79 4.01
Total 3.01 3.16 2.80 3.10 3.15 15.22

[1] “santiago” [1] NA

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.13 0.13 0.15 0.13 0.68
car 1.84 1.78 2.08 1.62 1.77 9.09
cycle 0.73 1.44 0.69 0.65 0.70 4.21
motorcycle 1.11 1.08 1.09 0.96 3.13 7.37
other 0.06 0.06 0.06 0.06 0.06 0.30
pedestrian 3.13 2.96 3.09 3.22 3.04 15.44
truck 0.19 0.19 0.20 0.19 0.20 0.97
active_travel 3.86 4.40 3.78 3.88 3.74 19.66
Total 11.06 12.04 11.12 10.73 12.77 57.72

[1] “ub”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.26 0.25 0.29 0.25 1.31
car 2.24 2.18 2.53 1.98 2.18 11.11
cycle 0.99 1.97 0.93 0.88 0.96 5.73
motorcycle 1.44 1.42 1.41 1.24 4.08 9.59
other 0.13 0.13 0.13 0.12 0.13 0.64
pedestrian 3.79 3.62 3.73 3.91 3.75 18.80
truck 0.34 0.34 0.35 0.34 0.35 1.72
active_travel 4.78 5.60 4.66 4.79 4.71 24.54
Total 13.97 15.52 13.99 13.55 16.41 73.44

[1] “lb”

santiago
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.07 0.07 0.07 0.08 0.07 0.36
car 1.53 1.48 1.73 1.35 1.47 7.56
cycle 0.55 1.08 0.52 0.49 0.52 3.16
motorcycle 0.86 0.84 0.85 0.74 2.43 5.72
other 0.03 0.03 0.03 0.03 0.03 0.15
pedestrian 2.64 2.49 2.62 2.72 2.53 13.00
truck 0.11 0.11 0.11 0.11 0.11 0.55
active_travel 3.18 3.57 3.13 3.21 3.05 16.14
Total 8.97 9.67 9.06 8.73 10.21 46.64

[1] “sao_paulo” [1] NA

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.12 0.11 0.11 0.13 0.12 0.59
car 1.98 1.91 2.28 1.68 1.99 9.84
cycle 0.45 2.33 0.42 0.40 0.49 4.09
motorcycle 5.11 4.96 4.87 4.20 10.85 29.99
other 0.02 0.02 0.02 0.01 0.02 0.09
pedestrian 4.71 4.46 4.62 4.68 5.22 23.69
truck 0.18 0.18 0.18 0.17 0.19 0.90
active_travel 5.17 6.79 5.04 5.08 5.71 27.79
Total 17.74 20.76 17.54 16.35 24.59 96.98

[1] “ub”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.18 0.17 0.16 0.20 0.18 0.89
car 2.20 2.13 2.52 1.86 2.21 10.92
cycle 0.56 2.91 0.52 0.50 0.60 5.09
motorcycle 5.51 5.38 5.25 4.53 11.70 32.37
other 0.04 0.03 0.04 0.03 0.04 0.18
pedestrian 5.12 4.88 5.01 5.08 5.69 25.78
truck 0.25 0.24 0.25 0.24 0.26 1.24
active_travel 5.68 7.79 5.53 5.58 6.29 30.87
Total 19.54 23.53 19.28 18.02 26.97 107.34

[1] “lb”

sao_paulo
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.08 0.07 0.07 0.09 0.08 0.39
car 1.80 1.73 2.06 1.52 1.79 8.90
cycle 0.37 1.87 0.34 0.33 0.39 3.30
motorcycle 4.74 4.59 4.52 3.89 10.07 27.81
other 0.01 0.01 0.01 0.01 0.01 0.05
pedestrian 4.36 4.11 4.28 4.32 4.80 21.87
truck 0.13 0.13 0.13 0.12 0.13 0.64
active_travel 4.72 5.98 4.62 4.65 5.19 25.16
Total 16.21 18.49 16.03 14.93 22.46 88.12

[1] “temuco_padrelascasas” [1] NA

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 3.08 2.98 3.37 2.59 2.86 14.88
cycle 0.79 1.19 0.75 0.67 0.73 4.13
motorcycle 0.70 0.67 0.66 0.65 3.29 5.97
pedestrian 3.52 3.27 3.53 3.50 3.28 17.10
truck 0.18 0.18 0.18 0.18 0.18 0.90
active_travel 4.32 4.46 4.29 4.17 4.01 21.25
Total 12.59 12.75 12.78 11.76 14.35 64.23

[1] “ub”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 10.22 9.88 11.16 8.61 9.47 49.34
cycle 2.55 3.88 2.40 2.17 2.34 13.34
motorcycle 2.90 2.75 2.72 2.69 14.18 25.24
pedestrian 10.76 10.02 10.68 10.81 10.04 52.31
truck 1.04 1.04 1.04 1.04 1.04 5.20
active_travel 13.30 13.90 13.08 12.98 12.38 65.64
Total 40.77 41.47 41.08 38.30 49.45 211.07

[1] “lb”

temuco_padrelascasas
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
car 0.99 0.95 1.08 0.83 0.91 4.76
cycle 0.26 0.38 0.25 0.22 0.24 1.35
motorcycle 0.18 0.17 0.17 0.17 0.80 1.49
pedestrian 1.27 1.18 1.29 1.25 1.18 6.17
truck 0.03 0.03 0.03 0.03 0.03 0.15
active_travel 1.53 1.56 1.53 1.47 1.42 7.51
Total 4.26 4.27 4.35 3.97 4.58 21.43

[1] “valdivia” [1] NA

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.36 0.35 0.31 0.44 0.33 1.79
car 2.72 2.62 2.83 2.38 2.51 13.06
cycle 0.80 1.41 0.73 0.75 0.74 4.43
motorcycle 0.57 0.52 0.54 0.56 2.55 4.74
pedestrian 1.95 1.85 1.79 2.15 1.85 9.59
active_travel 2.76 3.26 2.52 2.90 2.59 14.03
Total 9.16 10.01 8.72 9.18 10.57 47.64

[1] “ub”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 2.82 2.69 2.40 3.59 2.56 14.06
car 16.13 15.53 16.66 14.12 14.91 77.35
cycle 6.11 11.56 5.57 5.70 5.66 34.60
motorcycle 5.31 4.77 5.06 5.12 25.51 45.77
pedestrian 10.13 9.55 9.29 11.07 9.55 49.59
active_travel 16.25 21.11 14.86 16.77 15.21 84.20
Total 56.75 65.21 53.84 56.37 73.40 305.57

[1] “lb”

valdivia
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.06 0.05 0.05 0.07 0.05 0.28
car 0.52 0.50 0.54 0.45 0.48 2.49
cycle 0.12 0.20 0.11 0.11 0.11 0.65
motorcycle 0.07 0.07 0.07 0.07 0.31 0.59
pedestrian 0.41 0.38 0.37 0.45 0.38 1.99
active_travel 0.53 0.58 0.48 0.56 0.50 2.65
Total 1.71 1.78 1.62 1.71 1.83 8.65

[1] “accra” [1] NA

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.90 0.88 0.87 0.96 0.87 4.48
car 1.95 1.88 2.24 1.50 1.96 9.53
cycle 0.72 2.63 0.71 0.55 0.71 5.32
motorcycle 2.02 1.99 1.92 1.44 5.01 12.38
pedestrian 9.84 9.20 9.93 8.71 9.96 47.64
truck 0.43 0.43 0.43 0.42 0.43 2.14
active_travel 10.56 11.82 10.64 9.26 10.67 52.95
Total 26.42 28.83 26.74 22.84 29.61 134.44

[1] “ub”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.30 1.28 1.26 1.38 1.26 6.48
car 2.55 2.50 2.91 1.96 2.58 12.50
cycle 0.98 3.58 0.97 0.75 0.98 7.26
motorcycle 2.62 2.62 2.48 1.87 6.52 16.11
pedestrian 11.44 10.91 11.47 10.16 11.74 55.72
truck 0.71 0.71 0.72 0.69 0.72 3.55
active_travel 12.42 14.49 12.44 10.91 12.72 62.98
Total 32.02 36.09 32.25 27.72 36.52 164.60

[1] “lb”

accra
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.63 0.61 0.61 0.68 0.60 3.13
car 1.51 1.45 1.73 1.16 1.50 7.35
cycle 0.53 1.93 0.52 0.40 0.52 3.90
motorcycle 1.58 1.55 1.51 1.12 3.89 9.65
pedestrian 8.60 8.01 8.71 7.59 8.58 41.49
truck 0.27 0.27 0.27 0.27 0.27 1.35
active_travel 9.13 9.94 9.23 7.99 9.10 45.39
Total 22.25 23.76 22.58 19.21 24.46 112.26

[1] “bangalore” [1] NA

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.25 0.24 0.24 0.31 0.21 1.25
car 0.51 0.50 0.87 0.47 0.44 2.79
cycle 0.39 0.76 0.42 0.36 0.34 2.27
motorcycle 6.14 5.96 6.75 5.64 6.21 30.70
other 0.25 0.23 0.26 0.23 0.21 1.18
pedestrian 6.06 5.74 6.81 6.25 5.58 30.44
truck 0.20 0.20 0.20 0.20 0.20 1.00
active_travel 6.45 6.50 7.24 6.62 5.92 32.73
Total 20.25 20.13 22.79 20.08 19.11 102.36

[1] “ub”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.56 0.54 0.56 0.69 0.48 2.83
car 0.92 0.90 1.56 0.84 0.79 5.01
cycle 0.63 1.24 0.69 0.59 0.56 3.71
motorcycle 7.61 7.46 8.33 6.99 7.70 38.09
other 0.56 0.54 0.58 0.52 0.49 2.69
pedestrian 7.45 7.13 8.36 7.70 6.86 37.50
truck 0.39 0.39 0.39 0.39 0.39 1.95
active_travel 8.09 8.37 9.04 8.29 7.42 41.21
Total 26.21 26.57 29.51 26.01 24.69 132.99

[1] “lb”

bangalore
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.11 0.11 0.11 0.14 0.10 0.57
car 0.29 0.28 0.49 0.26 0.25 1.57
cycle 0.24 0.47 0.26 0.22 0.21 1.40
motorcycle 5.02 4.86 5.53 4.60 5.07 25.08
other 0.12 0.11 0.12 0.11 0.10 0.56
pedestrian 4.97 4.71 5.60 5.13 4.58 24.99
truck 0.11 0.11 0.11 0.11 0.11 0.55
active_travel 5.21 5.17 5.86 5.35 4.79 26.38
Total 16.07 15.82 18.08 15.92 15.21 81.10

[1] “cape_town” [1] NA

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.76 0.75 0.73 0.82 0.74 3.80
car 7.03 7.00 7.71 6.21 6.98 34.93
cycle 0.29 2.37 0.29 0.26 0.26 3.47
motorcycle 1.78 1.68 1.62 1.49 8.28 14.85
other 0.08 0.07 0.07 0.07 0.07 0.36
pedestrian 12.39 12.02 12.49 11.56 12.15 60.61
truck 0.23 0.24 0.25 0.22 0.24 1.18
active_travel 12.68 14.39 12.78 11.83 12.41 64.09
Total 35.24 38.52 35.94 32.46 41.13 183.29

[1] “ub”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.01 1.02 0.96 1.10 0.99 5.08
car 7.83 7.96 8.56 6.92 7.87 39.14
cycle 0.40 3.31 0.40 0.37 0.37 4.85
motorcycle 2.13 2.06 1.93 1.79 9.99 17.90
other 0.14 0.14 0.13 0.14 0.14 0.69
pedestrian 13.47 13.36 13.53 12.61 13.43 66.40
truck 0.39 0.40 0.41 0.37 0.40 1.97
active_travel 13.87 16.68 13.93 12.98 13.80 71.26
Total 39.24 44.93 39.85 36.28 46.99 207.29

[1] “lb”

cape_town
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.58 0.57 0.56 0.62 0.56 2.89
car 6.35 6.25 6.98 5.60 6.23 31.41
cycle 0.21 1.70 0.21 0.19 0.19 2.50
motorcycle 1.51 1.41 1.38 1.26 6.98 12.54
other 0.04 0.04 0.04 0.04 0.04 0.20
pedestrian 11.45 10.99 11.58 10.65 11.07 55.74
truck 0.16 0.16 0.17 0.15 0.16 0.80
active_travel 11.65 12.68 11.78 10.83 11.26 58.20
Total 31.95 33.80 32.70 29.34 36.49 164.28

[1] “delhi” [1] NA

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.06 0.06 0.06 0.08 0.06 0.32
car 1.05 1.02 1.21 0.94 0.94 5.16
cycle 0.86 1.38 0.84 0.76 0.76 4.60
motorcycle 6.43 6.16 6.32 5.67 7.30 31.88
pedestrian 7.37 6.94 7.38 7.16 6.80 35.65
truck 0.42 0.42 0.43 0.42 0.42 2.11
active_travel 8.23 8.32 8.22 7.92 7.56 40.25
Total 24.42 24.30 24.46 22.95 23.84 119.97

[1] “ub”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.13 0.12 0.12 0.16 0.11 0.64
car 1.24 1.21 1.43 1.12 1.12 6.12
cycle 1.00 1.60 0.97 0.87 0.88 5.32
motorcycle 6.96 6.68 6.84 6.15 7.91 34.54
pedestrian 7.96 7.50 7.96 7.74 7.35 38.51
truck 0.55 0.55 0.56 0.54 0.54 2.74
active_travel 8.95 9.10 8.93 8.62 8.23 43.83
Total 26.79 26.76 26.81 25.20 26.14 131.70

[1] “lb”

delhi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.03 0.03 0.03 0.04 0.03 0.16
car 0.88 0.86 1.02 0.80 0.80 4.36
cycle 0.75 1.20 0.73 0.65 0.66 3.99
motorcycle 5.94 5.69 5.84 5.23 6.74 29.44
pedestrian 6.84 6.44 6.86 6.64 6.30 33.08
truck 0.32 0.32 0.33 0.32 0.32 1.61
active_travel 7.58 7.64 7.59 7.29 6.96 37.06
Total 22.34 22.18 22.40 20.97 21.81 109.70

[1] “vizag” [1] NA

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.26 0.25 0.25 0.31 0.23 1.30
car 0.63 0.60 2.14 0.46 0.61 4.44
cycle 1.24 2.27 1.64 0.96 1.22 7.33
motorcycle 9.15 8.81 11.34 6.98 11.66 47.94
other 0.16 0.15 0.19 0.12 0.12 0.74
pedestrian 9.06 8.46 12.16 8.17 9.34 47.19
truck 0.56 0.56 0.60 0.55 0.56 2.83
active_travel 10.30 10.72 13.81 9.14 10.56 54.53
Total 31.36 31.82 42.13 26.69 34.30 166.30

[1] “ub”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.59 0.57 0.60 0.68 0.53 2.97
car 1.05 1.01 3.57 0.77 1.03 7.43
cycle 1.65 3.02 2.20 1.28 1.62 9.77
motorcycle 10.73 10.33 13.37 8.19 13.66 56.28
other 0.33 0.32 0.40 0.26 0.25 1.56
pedestrian 10.75 10.04 14.46 9.72 11.06 56.03
truck 0.94 0.94 1.07 0.91 0.97 4.83
active_travel 12.40 13.06 16.66 11.01 12.68 65.81
Total 38.44 39.29 52.33 32.82 41.80 204.68

[1] “lb”

vizag
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.14 0.13 0.13 0.17 0.12 0.69
car 0.37 0.36 1.29 0.27 0.36 2.65
cycle 0.93 1.70 1.23 0.72 0.91 5.49
motorcycle 7.80 7.51 9.62 5.95 9.95 40.83
other 0.08 0.07 0.09 0.06 0.06 0.36
pedestrian 7.72 7.21 10.31 6.96 7.97 40.17
truck 0.35 0.35 0.36 0.34 0.35 1.75
active_travel 8.65 8.91 11.54 7.68 8.89 45.67
Total 26.04 26.24 34.57 22.15 28.61 137.61

[1] “kisumu” [1] NA

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.28 3.10 3.30 3.96 2.63 16.27
car 0.86 0.82 1.38 0.70 0.69 4.45
cycle 0.69 1.22 0.74 0.65 0.61 3.91
motorcycle 13.12 12.38 13.34 10.77 14.50 64.11
other 1.21 1.19 0.68 0.80 0.54 4.42
pedestrian 6.56 6.17 7.17 6.38 5.88 32.16
truck 0.17 0.17 0.17 0.17 0.17 0.85
active_travel 7.25 7.39 7.91 7.03 6.49 36.07
Total 33.14 32.44 34.69 30.46 31.51 162.24

[1] “ub”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 6.81 6.43 6.68 8.31 5.49 33.72
car 3.29 3.13 5.36 2.63 2.63 17.04
cycle 2.01 3.54 2.15 1.89 1.78 11.37
motorcycle 18.77 17.66 19.06 15.46 20.60 91.55
other 2.80 2.75 1.56 1.84 1.26 10.21
pedestrian 10.61 9.95 11.46 10.29 9.57 51.88
truck 1.28 1.28 1.28 1.28 1.28 6.40
active_travel 12.63 13.50 13.61 12.19 11.35 63.28
Total 58.20 58.24 61.16 53.89 53.96 285.45

[1] “lb”

kisumu
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.83 1.73 1.86 2.21 1.46 9.09
car 0.27 0.25 0.42 0.22 0.21 1.37
cycle 0.24 0.42 0.26 0.23 0.21 1.36
motorcycle 9.46 8.95 9.59 7.74 10.53 46.27
other 0.53 0.52 0.30 0.35 0.24 1.94
pedestrian 4.22 3.98 4.63 4.11 3.77 20.71
truck 0.02 0.02 0.02 0.02 0.02 0.10
active_travel 4.46 4.40 4.89 4.33 3.98 22.06
Total 21.03 20.27 21.97 19.21 20.42 102.90

[1] “nairobi” [1] NA

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.03 1.01 1.03 1.05 0.97 5.09
car 2.12 2.09 2.40 1.86 2.01 10.48
cycle 0.30 0.73 0.30 0.26 0.28 1.87
motorcycle 4.88 4.78 4.74 4.11 6.43 24.94
other 0.27 0.27 0.26 0.23 0.27 1.30
pedestrian 13.85 13.16 13.84 13.15 12.96 66.96
truck 0.15 0.15 0.15 0.15 0.15 0.75
active_travel 14.16 13.89 14.15 13.41 13.24 68.85
Total 36.76 36.08 36.87 34.22 36.31 180.24

[1] “ub”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 1.70 1.68 1.68 1.75 1.61 8.42
car 3.07 3.06 3.47 2.68 2.91 15.19
cycle 0.58 1.39 0.58 0.50 0.54 3.59
motorcycle 6.20 6.14 6.00 5.22 8.18 31.74
other 0.54 0.54 0.52 0.47 0.53 2.60
pedestrian 16.39 15.76 16.33 15.54 15.40 79.42
truck 0.37 0.37 0.37 0.37 0.37 1.85
active_travel 16.97 17.15 16.91 16.04 15.94 83.01
Total 45.82 46.09 45.86 42.57 45.48 225.82

[1] “lb”

nairobi
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.64 0.62 0.64 0.65 0.60 3.15
car 1.49 1.46 1.69 1.31 1.41 7.36
cycle 0.16 0.38 0.16 0.14 0.15 0.99
motorcycle 3.95 3.86 3.85 3.33 5.21 20.20
other 0.14 0.13 0.13 0.12 0.13 0.65
pedestrian 11.85 11.23 11.86 11.25 11.05 57.24
truck 0.06 0.06 0.06 0.06 0.06 0.30
active_travel 12.01 11.61 12.02 11.39 11.20 58.23
Total 30.30 29.35 30.41 28.25 29.81 148.12

[1] “port_louis” [1] NA

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.89 0.82 0.83 0.95 0.80 4.29
cycle 2.37 14.63 2.30 2.30 1.55 23.15
motorcycle 18.10 16.92 15.84 14.87 23.03 88.76
pedestrian 13.06 12.05 12.95 12.42 12.91 63.39
truck 1.48 1.46 1.50 1.44 1.51 7.39
active_travel 15.43 26.69 15.25 14.72 14.45 86.54
Total 51.33 72.57 48.67 46.70 54.25 273.52

[1] “ub”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 3.12 2.89 2.91 3.34 2.79 15.05
cycle 6.94 41.49 6.71 6.69 4.69 66.52
motorcycle 31.16 29.15 27.25 25.71 39.57 152.84
pedestrian 23.31 21.56 23.07 22.34 22.94 113.22
truck 5.59 5.49 5.65 5.38 5.71 27.82
active_travel 30.25 63.05 29.77 29.03 27.63 179.73
Total 100.37 163.63 95.36 92.49 103.33 555.18

[1] “lb”

port_louis
stage_mode bl bi_sc car_sc bus_sc mc_sc Total
bus 0.25 0.23 0.24 0.27 0.23 1.22
cycle 0.83 5.28 0.81 0.81 0.52 8.25
motorcycle 10.65 9.96 9.32 8.72 13.60 52.25
pedestrian 7.37 6.80 7.33 6.96 7.32 35.78
truck 0.40 0.40 0.40 0.39 0.41 2.00
active_travel 8.21 12.08 8.14 7.77 7.84 44.04
Total 27.71 34.75 26.24 24.92 29.92 143.54

True distances in a single file

Change in deaths due to injury per 100 million hours

[1] NA

antofagasta mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 18.2137 5.0397959 17.9735 4.653167 19.3536 5.0922095 16.9736 5.0027015 17.4552 4.6674370
car 18.0977 9.6214286 18.1435 9.333034 16.9088 10.2877078 18.6078 8.3687271 18.2380 8.9148168
cycle 44.6070 0.2290816 13.1486 1.291047 46.9022 0.2220374 42.1519 0.1957029 41.9956 0.2095391
motorcycle 69.1939 2.2908163 68.6886 2.129625 72.2751 2.1854170 67.7986 2.1322178 93.5275 11.5242894
truck 9.2946 2.2908163 9.2713 2.285086 9.3440 2.3030142 9.2100 2.2699869 9.2419 2.2778277
bus 2.5208 1.3744898 2.5238 1.329415 2.5633 1.2235283 2.4777 1.6059306 2.5599 1.2797629
active_travel 18.6947 5.2688776 16.6467 5.944215 19.8405 5.3142468 17.3641 5.1984044 17.9047 4.8769761

[1] “ub”

antofagasta ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 63.7599 17.642547 63.1153 16.339973 67.4626 17.750344 59.7053 17.597177 61.2846 16.387212
car 52.6027 27.965527 52.6952 27.106510 49.0337 29.833183 54.3674 24.451307 52.9594 25.886786
cycle 415.4119 2.133369 131.9674 12.957772 437.9992 2.073510 393.5785 1.827306 392.0286 1.956046
motorcycle 267.2410 8.847600 266.1858 8.252838 279.9064 8.463663 260.8406 8.203247 354.0727 43.628208
truck 34.5767 8.522066 34.3434 8.464572 35.0467 8.637902 33.7710 8.323500 34.0474 8.391605
bus 8.3456 4.550505 8.3621 4.404798 8.4886 4.051881 8.2012 5.315678 8.4710 4.234885
active_travel 70.1676 19.775915 82.0481 29.297745 74.0116 19.823855 64.8831 19.424484 67.3432 18.343259

[1] “lb”

antofagasta lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 5.8774 1.6262828 5.7864 1.4980453 6.2761 1.6513169 5.4453 1.6049034 5.6194 1.5025987
car 6.6827 3.5527551 6.7039 3.4485130 6.2547 3.8055048 6.8421 3.0771824 6.7387 3.2939299
cycle 4.8842 0.0250829 1.3620 0.1337377 5.1260 0.0242668 4.6053 0.0213816 4.5901 0.0229027
motorcycle 19.2614 0.6376895 19.0791 0.5915286 20.1165 0.6082724 18.8936 0.5941896 25.9882 3.2022197
truck 2.9111 0.7174856 2.9086 0.7168730 2.9166 0.7188490 2.9016 0.7151643 2.9054 0.7160987
bus 0.7784 0.4244391 0.7787 0.4101792 0.7912 0.3776440 0.7645 0.4955121 0.7909 0.3954108
active_travel 5.8593 1.6513657 4.5698 1.6317830 6.2557 1.6755837 5.4322 1.6262851 5.6005 1.5255014

[1] NA

arica mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 43.3069 10.5377551 42.5904 9.8409309 45.1885 10.4496418 40.0736 10.2317962 40.9357 9.7187191
car 32.9255 9.3923469 33.1656 8.9614836 29.0408 9.9573435 33.9733 8.1480211 33.0840 8.5467800
cycle 46.4285 1.1454082 30.0394 2.8491939 48.9567 1.1161088 44.8133 0.9982593 44.6696 1.0111999
motorcycle 80.0792 2.0617347 80.1781 1.9257213 82.4073 1.9193365 77.9580 1.9674802 130.1486 11.6109320
truck 17.6724 2.5198980 17.6147 2.5116617 17.7243 2.5272939 17.5578 2.5035506 17.5551 2.5031723
bus 2.7888 0.4581633 2.7775 0.4325353 2.9719 0.3789923 2.5071 0.6014572 2.7908 0.3923871
active_travel 43.5943 11.6831633 38.9377 12.6901248 45.5266 11.5657506 40.4540 11.2300555 41.2607 10.7299190

[1] “ub”

arica ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 76.3288 18.572879 75.2755 17.393133 78.7334 18.206769 72.5030 18.511821 72.5581 17.226331
car 53.6762 15.311702 54.0191 14.596174 47.1071 16.151838 55.9885 13.428068 53.7916 13.896301
cycle 124.2593 3.065521 80.4486 7.630426 130.3362 2.971392 121.4510 2.705437 119.6288 2.708073
motorcycle 214.1893 5.514559 214.3173 5.147481 220.3293 5.131655 209.0167 5.275102 342.6713 30.570694
truck 42.5775 6.071087 42.1376 6.008372 42.9345 6.122001 41.7859 5.958224 41.6790 5.942973
bus 20.9563 3.442837 20.8727 3.250450 22.3408 2.849026 18.8310 4.517679 20.9755 2.949157
active_travel 80.7410 21.638400 76.7810 25.023559 83.3643 21.178161 76.4308 21.217258 76.6556 19.934404

[1] “lb”

arica lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 26.8033 6.5219796 26.3133 6.0799481 28.2013 6.5214295 24.3123 6.2075252 25.2611 5.9973467
car 21.0262 5.9979400 21.1905 5.7257577 18.6082 6.3802803 21.5341 5.1646634 21.1612 5.4666925
cycle 17.5209 0.4322473 11.3285 1.0744953 18.5592 0.4231111 16.7263 0.3725951 16.8439 0.3813013
motorcycle 30.3095 0.7803533 30.3656 0.7293232 31.1872 0.7263752 29.4717 0.7437972 49.9809 4.4589433
truck 8.7455 1.2470205 8.7379 1.2459356 8.7530 1.2480788 8.7292 1.2446864 8.7302 1.2448291
bus 0.3715 0.0610374 0.3700 0.0576201 0.3958 0.0504714 0.3341 0.0801609 0.3717 0.0522651
active_travel 25.9488 6.9542269 21.9523 7.1544434 27.3360 6.9445406 23.7035 6.5801203 24.5284 6.3786480

[1] NA

belo_horizonte mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 20.6943 94.0809950 20.8306 91.5675875 19.8255 104.3239377 21.3607 84.3711805 21.6433 91.3925468
pedestrian 50.6626 167.2877693 51.0144 159.8665131 51.0544 157.5977264 49.9912 173.4235733 55.0772 174.7652744
motorcycle 127.7413 131.2723884 128.4786 128.8505954 131.2026 120.3735068 133.1501 120.2656530 113.2152 189.2944845
cycle 108.3245 14.9941586 78.0745 58.9117213 111.1185 13.1753438 110.4952 13.8475633 113.6688 14.7925255
other 73.2054 51.7445473 73.4255 50.3846010 74.1583 46.1280750 74.4094 45.0336164 73.9449 48.8749023
truck 2.5416 7.2030762 2.5392 7.1962718 2.5309 7.1728065 2.5403 7.1994803 2.5993 7.3666296
bus 0.9644 5.1450544 0.9680 5.0496756 0.9840 4.6670020 0.9227 6.0283004 1.0025 4.9519528
rail 0.3140 0.1470016 0.3145 0.1447179 0.3175 0.1332066 0.3140 0.1470016 0.3164 0.1370746
active_travel 52.9825 182.2819279 56.2656 218.7782344 53.2762 170.7730701 52.1007 187.2711366 57.3856 189.5577999

[1] “ub”

belo_horizonte ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 23.4912 106.796426 23.7450 104.378738 22.4553 118.162351 24.2690 95.858414 24.6267 103.990453
pedestrian 56.8055 187.571506 57.7977 181.123494 57.1463 176.402331 55.9840 194.213137 61.8126 196.137216
motorcycle 144.8675 148.871982 147.0178 147.443441 148.6197 136.353076 150.9092 136.306216 128.3329 214.571149
cycle 147.7862 20.456413 106.2447 80.167779 151.5681 17.971470 150.7389 18.891009 155.1753 20.194061
other 84.3134 59.596177 84.5961 58.049816 85.4150 53.129996 85.7365 51.888907 85.3236 56.395842
truck 3.9316 11.142403 3.9346 11.150946 3.9118 11.086482 3.9288 11.134494 4.0331 11.430073
bus 1.6023 8.548522 1.6119 8.408503 1.6397 7.776597 1.5191 9.925447 1.6843 8.319904
rail 2.7250 1.275719 2.7297 1.255901 2.7550 1.156003 2.7250 1.275719 2.7462 1.189570
active_travel 60.4659 208.027919 67.1992 261.291273 60.6390 194.373800 59.2877 213.104145 65.4908 216.331277

[1] “lb”

belo_horizonte lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 18.3009 83.200419 18.3767 80.7809623 17.5669 92.4390039 18.8722 74.542156 19.0939 80.6274537
pedestrian 45.4280 150.003033 45.4544 142.4428467 45.8387 141.4975694 44.8700 155.657725 49.3099 156.4649918
motorcycle 113.1854 116.314127 113.2127 113.5404424 116.3405 106.7381251 118.0184 106.598141 100.3427 167.7718846
cycle 79.4874 11.002569 57.4264 43.3315292 81.5482 9.6691940 81.0816 10.161371 83.3507 10.8470121
other 64.1153 45.319326 64.3007 44.1231596 64.9471 40.3985412 65.1515 39.430579 64.6844 42.7540299
truck 1.6578 4.698267 1.6546 4.6893384 1.6519 4.6817417 1.6572 4.696608 1.6906 4.7911615
bus 0.5972 3.186060 0.5988 3.1234524 0.6079 2.8832720 0.5754 3.759375 0.6153 3.0393797
rail 0.0362 0.016939 0.0362 0.0166759 0.0366 0.0153494 0.0362 0.016939 0.0365 0.0157952
active_travel 46.7983 161.005602 47.7777 185.7743759 47.1596 151.1667634 46.1325 165.819095 50.6510 167.3120039

[1] NA

bogota mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.8238 20.707117 6.8471 20.232090 6.5065 23.265358 7.0119 17.953526 7.0472 19.868396
pedestrian 40.0776 166.992877 40.4234 158.851533 41.1112 159.850575 38.7349 165.376995 42.2443 166.345813
cycle 100.8657 63.011979 74.5463 85.499735 103.6480 59.720189 101.2346 55.237961 106.9860 61.687827
motorcycle 142.6302 195.270338 142.7473 191.955653 147.0634 188.692840 146.9141 167.585764 121.3575 233.054062
truck 0.7701 1.558600 0.7684 1.553722 0.7715 1.561316 0.7600 1.538096 0.7810 1.580625
bus 1.0396 7.347687 1.0418 7.188424 1.0557 6.899917 0.9955 8.319039 1.0629 7.025212
active_travel 48.0032 230.004856 48.1326 244.351268 49.1823 219.570765 45.8173 220.614956 50.5135 228.033641

[1] “ub”

bogota ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 10.6348 32.271686 10.6769 31.548617 10.1081 36.143812 10.9247 27.971840 10.9798 30.955680
pedestrian 49.9708 208.215210 50.5176 198.518847 51.2183 199.149301 48.2856 206.153128 52.6811 207.443214
cycle 129.4535 80.871064 96.7167 110.927768 132.9209 76.586764 129.9444 70.903304 137.1946 79.106029
motorcycle 180.4988 247.114869 181.0978 243.526475 185.7904 238.382282 185.8959 212.052518 154.7523 297.185205
truck 2.3812 4.819295 2.3745 4.801631 2.3867 4.830382 2.3389 4.733669 2.4269 4.911399
bus 1.8521 13.090635 1.8569 12.812184 1.8837 12.311538 1.7698 14.790207 1.9007 12.562476
active_travel 60.3337 289.086274 60.9551 309.446615 61.7629 275.736065 57.5391 277.056433 63.4758 286.549243

[1] “lb”

bogota lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 4.4245 13.4262075 4.4376 13.1125159 4.2318 15.1316814 4.5473 11.642917 4.5692 12.8821225
pedestrian 32.3089 134.6227474 32.5309 127.8366674 33.1653 128.9546734 31.2359 133.360199 34.0406 134.0420782
cycle 79.1551 49.4490892 57.9558 66.4715652 81.3951 46.8984756 79.4392 43.345487 83.9993 48.4337715
motorcycle 113.7382 155.7151871 113.6075 152.7706409 117.4470 150.6928265 117.1544 133.638667 96.1525 184.6506367
truck 0.2604 0.5270966 0.2600 0.5257295 0.2608 0.5277613 0.2580 0.522186 0.2631 0.5323536
bus 0.5949 4.2044935 0.5960 4.1122646 0.6033 3.9429784 0.5706 4.768092 0.6062 4.0067601
active_travel 38.4167 184.0718367 38.2751 194.3082326 39.3898 175.8531490 36.6983 176.705686 40.4216 182.4758497

[1] NA

buenos_aires mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 124.7651 251.388194 124.5865 238.432325 130.7200 246.651268 114.2978 246.701901 153.3832 293.605637
car 47.2257 85.488915 47.3315 82.956922 44.4546 102.151379 48.9629 68.633897 51.0142 84.932761
cycle 74.0978 15.235648 56.8647 31.135245 77.4941 14.623533 72.3755 13.254235 87.7574 17.017983
motorcycle 674.2159 207.374100 671.1248 202.506636 716.3040 199.588523 714.5702 159.803897 551.7188 384.641181
truck 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275 2.5026 2.539275
bus 1.1485 3.385700 1.1530 3.269005 1.1603 3.087682 1.1213 4.201261 1.1581 3.141664
active_travel 120.0734 266.623843 109.5214 269.567571 125.8808 261.274801 111.0191 259.956137 147.3464 310.623620

[1] “ub”

buenos_aires ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 158.2278 318.811740 159.9341 306.080353 165.1178 311.555500 145.0303 313.035316 194.9728 373.216256
car 64.7906 117.285341 65.1340 114.159050 60.6984 139.477540 67.2563 94.276699 71.0616 118.309411
cycle 158.1575 32.519622 124.0671 67.930719 164.5379 31.049131 155.2218 28.426000 183.9839 35.678320
motorcycle 874.3121 268.919328 880.9231 265.811635 925.4487 257.863894 927.2002 207.355684 716.5068 499.526268
truck 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765 9.0588 9.191765
bus 3.4993 10.315435 3.5129 9.959895 3.5353 9.407444 3.4163 12.800258 3.5285 9.571915
active_travel 158.2213 351.331362 151.9553 374.011072 165.0651 342.604631 145.8274 341.461316 193.9619 408.894576

[1] “lb”

buenos_aires lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 99.6264 200.7364519 98.9555 189.3800077 104.7057 197.5657543 91.2757 197.0106954 121.8730 233.2889375
car 35.0004 63.3583943 35.0449 61.4225435 33.0743 76.0007421 36.2508 50.8146761 37.3022 62.1039502
cycle 36.2542 7.4544240 27.3457 14.9726551 38.0787 7.1856400 35.2849 6.4617713 43.4883 8.4332907
motorcycle 527.1174 162.1298344 521.8306 157.4582881 561.5315 156.4632442 558.2962 124.8553401 430.5139 300.1409306
truck 0.6913 0.7014883 0.6913 0.7014883 0.6913 0.7014883 0.6913 0.7014883 0.6913 0.7014883
bus 0.3770 1.1112437 0.3784 1.0729427 0.3808 1.0134292 0.3680 1.3789246 0.3801 1.0311471
active_travel 93.7583 208.1908759 83.0256 204.3526629 98.6482 204.7513943 86.8967 203.4724667 114.6626 241.7222282

[1] NA

cali mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 67.8571 87.9495819 67.6524 83.2921061 69.1653 84.0517866 64.0363 84.4580208 71.3621 86.6513145
motorcycle 99.1441 153.3551254 99.5052 149.0678145 103.4166 149.1442391 101.4329 138.6067878 94.2626 165.8437643
cycle 102.3048 28.9454320 83.5529 43.9281278 105.6372 26.9637044 100.5410 25.3755652 107.7394 28.4755279
other 66.7710 0.2783215 66.9670 0.2595841 70.5934 0.2337029 68.2329 0.2134361 70.1276 0.2667164
car 8.3144 11.1328585 8.2980 10.8531113 7.6446 12.5323638 8.3950 10.0029171 8.5351 10.5123255
bus 0.1427 0.2783215 0.1429 0.2737918 0.1438 0.2592847 0.1384 0.3659559 0.1441 0.2551713
active_travel 74.0295 116.8950139 72.4105 127.2202339 75.4961 111.0154910 69.8998 109.8335859 77.8647 115.1268425

[1] “ub”

cali ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 81.4825 105.609448 81.5544 100.408021 82.9680 100.825332 77.1083 101.698914 85.4248 103.727029
motorcycle 117.4308 181.640781 118.3240 177.260115 122.1228 176.121794 120.2059 164.259860 111.5085 196.185867
cycle 136.4028 38.592916 112.0975 58.935463 140.6391 35.897861 134.4909 33.944195 143.1066 37.823085
other 497.3880 2.073263 499.1718 1.934940 525.6658 1.740243 508.3106 1.590021 522.1571 1.985920
car 13.0006 17.407749 12.9790 16.975441 11.9032 19.513802 13.1174 15.629758 13.3942 16.497145
bus 1.0543 2.056513 1.0562 2.023043 1.0627 1.915850 1.0227 2.704043 1.0645 1.885457
active_travel 91.3232 144.202363 90.6943 159.343483 92.9787 136.723193 86.3254 135.643109 95.7358 141.550114

[1] “lb”

cali lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 57.0272 73.9130115 56.7142 69.8252087 58.1338 70.6459533 53.6489 70.7580205 60.1164 72.9963040
motorcycle 84.8569 131.2558812 84.9533 127.2677191 88.6376 127.8304217 86.6661 118.4280841 80.7439 142.0592231
cycle 78.8703 22.3150499 64.2028 33.7547367 81.4746 20.7962523 77.2739 19.5031687 83.2691 22.0080272
other 8.9743 0.0374074 8.9951 0.0348676 9.4901 0.0314173 9.1690 0.0286812 9.4287 0.0358601
car 5.4117 7.2461671 5.4010 7.0640964 4.9927 8.1849219 5.4669 6.5139307 5.5365 6.8190748
bus 0.0193 0.0376671 0.0193 0.0370540 0.0195 0.0350907 0.0187 0.0495272 0.0195 0.0345340
active_travel 60.9411 96.2280614 58.9551 103.5799454 62.1853 91.4422056 57.4437 90.2611892 64.2551 95.0043311

[1] NA

copiapo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 100.3872 1.1454082 55.2725 4.2298978 102.2525 1.0845823 100.2523 1.1072763 122.1167 1.3465385
pedestrian 12.7943 2.5198980 12.6474 2.3651526 12.8960 2.4368290 12.4086 2.6236758 15.5340 2.9681419
car 14.1296 5.0397959 14.1372 4.8618903 12.7253 5.2467387 14.5610 4.4360001 14.6779 4.7413315
motorcycle 104.1637 2.5198980 104.3955 2.3392298 105.8449 2.2734024 104.6851 2.4750421 158.9865 14.3905294
truck 5.3253 0.9163265 5.2828 0.9089979 5.3122 0.9140607 5.3158 0.9146842 5.7495 0.9893089
bus 3.8709 0.6872449 3.8862 0.6632030 3.9409 0.5847629 3.7325 0.9535774 3.9128 0.6237826
active_travel 17.5909 3.6653061 25.0253 6.5950504 17.6452 3.5214113 16.7694 3.7309520 21.3492 4.3146804

[1] “ub”

copiapo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 320.4701 3.656532 175.9337 13.463863 321.4388 3.409469 325.5764 3.595959 535.1431 5.900836
pedestrian 33.0004 6.499566 32.5100 6.079623 32.6497 6.169505 32.6904 6.912090 57.7454 11.033644
car 26.7238 9.531939 26.6609 9.168866 23.7942 9.810553 28.0749 8.553000 32.4984 10.497804
motorcycle 275.4580 6.663802 276.1512 6.187824 278.5333 5.982513 280.2403 6.625645 422.0589 38.202294
truck 24.1605 4.157271 23.7705 4.090160 23.9205 4.115977 24.1989 4.163871 31.5079 5.421533
bus 12.2825 2.180678 12.3312 2.104392 12.5049 1.855495 11.8436 3.025771 12.4155 1.979307
active_travel 48.7421 10.156097 74.1588 19.543486 47.9987 9.578974 47.2302 10.508048 83.7924 16.934480

[1] “lb”

copiapo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
cycle 33.8060 0.3857226 18.6271 1.4254920 34.7730 0.3688339 33.1761 0.3664268 35.2276 0.3884421
pedestrian 5.4583 1.0750418 5.3990 1.0096604 5.5651 1.0515795 5.1814 1.0955504 5.6136 1.0726193
car 8.7910 3.1356108 8.7996 3.0262362 7.9344 3.2714415 9.0199 2.7479090 8.9345 2.8860727
motorcycle 39.7959 0.9627305 39.8680 0.8933370 40.6185 0.8724305 39.5524 0.9351273 60.4198 5.4688499
truck 1.4200 0.2443428 1.4151 0.2434863 1.4198 0.2443002 1.4171 0.2438315 1.4415 0.2480411
bus 1.2199 0.2165866 1.2247 0.2090097 1.2420 0.1842891 1.1763 0.3005218 1.2331 0.1965863
active_travel 7.0106 1.4607644 9.2403 2.4351523 7.1175 1.4204134 6.5711 1.4619772 7.2294 1.4610615

[1] NA

coquimbo_laserena mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 22.5099 9.6214286 22.3627 8.9883088 23.5570 9.4838181 20.7779 9.2631318 21.4936 8.7728760
car 21.5976 13.9739796 21.6722 13.4949435 19.7590 14.6623453 22.6846 12.3836137 21.9493 12.8035529
cycle 71.8376 1.3744898 41.1405 4.6667886 76.7728 1.2965814 68.1759 1.2359981 68.8001 1.2493236
motorcycle 150.6254 5.7270408 151.8503 5.4779990 154.6101 5.2434607 146.0683 5.2889051 225.6246 36.3315092
truck 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265 3.1307 0.9163265
bus 2.8354 1.3744898 2.8269 1.3351378 2.9264 1.2360828 2.6627 1.6698611 2.8213 1.2621913
active_travel 24.6233 10.9959184 26.4958 13.6550974 25.6996 10.7803996 22.6301 10.4991299 23.5085 10.0221996

[1] “ub”

coquimbo_laserena ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 35.5679 15.202827 35.3784 14.219737 37.0269 14.906633 33.2835 14.838317 34.0558 13.900310
car 32.9201 21.299836 33.0213 20.561841 30.0425 22.293308 34.7906 18.992377 33.4166 19.492645
cycle 174.7634 3.343801 100.1485 11.360379 186.2246 3.145064 167.1235 3.029875 167.6122 3.043629
motorcycle 284.4594 10.815645 287.0240 10.354387 290.9729 9.868079 277.8941 10.062111 430.4700 69.317037
truck 8.5100 2.490834 8.5100 2.490834 8.5100 2.490834 8.5100 2.490834 8.5100 2.490834
bus 9.1633 4.442038 9.1211 4.307864 9.5085 4.016306 8.5072 5.335116 9.0836 4.063804
active_travel 41.5318 18.546627 49.6347 25.580115 43.0337 18.051697 38.5135 17.868192 39.7445 16.943939

[1] “lb”

coquimbo_laserena lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 14.5268 6.2092118 14.4151 5.7939018 15.2686 6.1469592 13.2564 5.9099034 13.8336 5.6463695
car 14.5066 9.3860107 14.5603 9.0664928 13.2965 9.8668016 15.1654 8.2788596 14.7545 8.6066461
cycle 29.7200 0.5686425 17.0098 1.9295137 31.8438 0.5377956 28.0141 0.5078838 28.4234 0.5161329
motorcycle 80.6510 3.0664931 81.2317 2.9304315 83.0607 2.8169262 77.6637 2.8120832 119.4812 19.2396297
truck 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977 1.1517 0.3370977
bus 0.9176 0.4448426 0.9162 0.4327321 0.9426 0.3981629 0.8704 0.5458422 0.9162 0.4098708
active_travel 15.1778 6.7778543 14.9862 7.7234155 15.9359 6.6847547 13.8330 6.4177872 14.4550 6.1625024

[1] NA

gran_valparaiso mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 10.1909 14.6612245 10.3923 14.4086864 9.2865 15.7476229 10.9482 12.9701270 10.5565 13.9075744
pedestrian 18.4212 18.5556122 18.5889 17.7523326 19.3888 18.3450183 17.2460 18.4540476 18.1878 17.6141486
cycle 12.5236 0.4581633 6.8377 1.7074944 13.3351 0.4448737 12.5019 0.3899010 12.5346 0.4227410
other 29.4981 0.2290816 29.7106 0.2248219 31.1066 0.2168407 28.4493 0.2141872 29.7198 0.2111147
motorcycle 256.5006 5.9561224 257.8803 5.8398957 270.7138 5.1778553 262.6092 4.6628354 165.7097 37.1742928
truck 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796 2.7677 2.7489796
bus 0.2237 0.4581633 0.2264 0.4449444 0.2361 0.4231221 0.2048 0.5190612 0.2266 0.4287850
active_travel 18.2145 19.0137755 16.1530 19.4598270 19.1826 18.7898920 17.1116 18.8439486 17.9975 18.0368896

[1] “ub”

gran_valparaiso ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 16.0636 23.110053 17.6904 24.527383 14.4977 24.584539 17.1821 20.355254 18.6742 24.602020
pedestrian 28.9503 29.161569 31.7891 30.358505 29.9916 28.377111 27.2646 29.174495 32.8230 31.787834
cycle 53.7316 1.965715 29.3460 7.328267 56.9738 1.900702 53.6721 1.673895 57.3765 1.935079
other 228.2902 1.772898 237.1470 1.794505 239.7224 1.671079 219.9980 1.656306 241.3843 1.714675
motorcycle 477.8528 11.096076 505.8598 11.455582 501.7927 9.597627 490.1871 8.703662 309.2768 69.381254
truck 4.9302 4.896791 4.9302 4.896791 4.9302 4.896791 4.9302 4.896791 4.9302 4.896791
bus 1.6947 3.470292 1.7505 3.439767 1.7840 3.197721 1.5491 3.925826 1.7719 3.352333
active_travel 29.8188 31.127284 31.2827 37.686772 30.9106 30.277814 28.0125 30.848390 33.6493 33.722914

[1] “lb”

gran_valparaiso lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
car 6.9257 9.9637949 6.9467 9.6314025 6.3421 10.7546311 7.4180 8.7879364 6.9954 9.2160383
pedestrian 12.9157 13.0099313 12.7802 12.2050933 13.7075 12.9695874 11.9832 12.8225608 12.3317 11.9428143
cycle 2.9482 0.1078556 1.6092 0.4018569 3.1476 0.1050086 2.9379 0.0916249 2.8767 0.0970211
other 3.8627 0.0299980 3.8338 0.0290104 4.0843 0.0284712 3.7237 0.0280350 3.8022 0.0270089
motorcycle 140.7655 3.2686728 139.6670 3.1628651 149.1264 2.8522928 143.6820 2.5511885 90.4756 20.2967344
truck 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329 1.5538 1.5432329
bus 0.0298 0.0610392 0.0299 0.0587253 0.0315 0.0564381 0.0273 0.0691949 0.0298 0.0562970
active_travel 12.5664 13.1177870 10.4647 12.6069502 13.3478 13.0745959 11.7270 12.9141857 12.0136 12.0398354

[1] NA

iquique_altohospicio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 15.6814 4.3525510 18.4203 4.8416254 16.0188 4.2382768 14.8604 4.4312196 17.1612 4.6087368
car 15.1838 7.3306122 16.3109 7.5802761 13.8275 7.6423651 15.6355 6.5476045 16.1827 7.0668313
cycle 108.1483 0.6872449 47.4012 4.3686947 114.8491 0.6195763 106.0250 0.6427925 118.5419 0.7320911
motorcycle 84.0622 2.5198980 92.8339 2.6281314 85.9870 2.2904626 82.8837 2.3665307 137.2211 16.0202418
truck 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082 5.0388 1.1454082
bus 2.4620 0.6872449 3.0111 0.8114169 2.6047 0.6176248 2.1730 0.7979107 2.8228 0.7139052
active_travel 17.7511 5.0397959 25.9441 9.2103201 17.9936 4.8578531 16.6769 5.0740122 19.4401 5.3408279

[1] “ub”

iquique_altohospicio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 36.8709 10.233911 58.8063 15.456755 36.9368 9.772803 35.4462 10.569711 51.9836 13.960505
car 28.2592 13.643280 37.2874 17.328864 25.4386 14.059745 29.2781 12.260691 34.9637 15.268350
cycle 412.6318 2.622131 180.7824 16.661685 434.4459 2.343705 408.3769 2.475846 546.1074 3.372650
motorcycle 223.0234 6.685482 296.9173 8.405743 227.1034 6.049425 220.6910 6.301267 354.4114 41.376690
truck 12.3247 2.801593 12.3247 2.801593 12.3247 2.801593 12.3247 2.801593 12.3247 2.801593
bus 9.8606 2.752479 15.4154 4.154119 10.2926 2.440622 8.7374 3.208341 13.6909 3.462572
active_travel 45.2813 12.856041 90.4729 32.118440 44.8799 12.116509 42.8773 13.045557 63.0912 17.333155

[1] “lb”

iquique_altohospicio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 7.4828 2.0769266 7.7894 2.0473936 7.7231 2.0433791 6.9863 2.0832521 7.4279 1.9948116
car 9.2622 4.4716873 9.4151 4.3755767 8.4699 4.6812740 9.4922 3.9750223 9.5000 4.1485735
cycle 29.4777 0.1873205 12.9177 1.1905517 31.4817 0.1698345 28.6299 0.1735728 29.6813 0.1833059
motorcycle 33.2299 0.9961189 34.3776 0.9732305 34.0326 0.9065373 32.6838 0.9332017 55.4119 6.4692117
truck 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906 2.0601 0.4682906
bus 0.6655 0.1857705 0.7168 0.1931611 0.7083 0.1679600 0.5856 0.2150422 0.6935 0.1753920
active_travel 7.9751 2.2642471 9.1208 3.2379454 8.1978 2.2132137 7.4176 2.2568250 7.9282 2.1781175

[1] NA

medellin mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 60.3987 75.5178900 61.0854 71.746473 63.3440 74.8417778 57.3279 75.032208 65.2947 77.1565774
cycle 203.4152 10.0195726 140.3120 33.129431 214.2498 9.3293996 207.5627 8.385918 216.3576 9.8807942
motorcycle 171.6917 125.9868484 172.6600 124.373850 180.7466 124.3924960 176.6797 112.929728 161.5127 149.9560779
car 6.8183 4.4531434 6.8526 4.342221 6.1131 5.6160938 6.9600 3.866135 6.9823 4.2293737
auto_rickshaw 195.5191 0.1855476 194.9716 0.185028 211.4793 0.1620989 203.3843 0.141047 208.1281 0.1899169
truck 2.5887 1.1132858 2.5858 1.112024 2.6182 1.1259592 2.5526 1.097768 2.6459 1.1378905
bus 2.2042 2.7832146 2.2139 2.699365 2.2371 2.6218705 2.1172 3.432062 2.2488 2.6173056
active_travel 65.8193 85.5374626 74.3463 104.875904 68.7079 84.1711774 61.8266 83.418126 70.9157 87.0373717

[1] “ub”

medellin ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 71.7043 89.653642 73.4444 86.262470 75.1463 88.786453 68.1296 89.169855 77.3590 91.412667
cycle 303.1685 14.933097 211.1955 49.865913 318.7910 13.881596 309.5046 12.504559 321.5834 14.686329
motorcycle 198.4633 145.631756 202.0276 145.528538 208.8445 143.729894 204.2736 130.567099 186.5056 173.160679
car 12.0164 7.848071 12.1062 7.671266 10.6989 9.828970 12.2819 6.822284 12.4182 7.522117
auto_rickshaw 1453.8143 1.379670 1453.5201 1.379391 1572.2673 1.205143 1512.2951 1.048777 1547.1887 1.411810
truck 8.2717 3.557302 8.2754 3.558891 8.3933 3.609573 8.1222 3.492983 8.5072 3.658566
bus 4.5461 5.740309 4.5756 5.578951 4.6480 5.447382 4.2986 6.968205 4.6928 5.461811
active_travel 80.4773 104.586739 96.5011 136.128383 83.8066 102.668049 75.3575 101.674414 86.4466 106.098996

[1] “lb”

medellin lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 51.1405 63.9421636 51.4019 60.3730069 53.6580 63.3976563 48.4786 63.4500826 55.3749 65.4347455
cycle 137.1429 6.7552158 93.6923 22.1219398 144.6793 6.2999863 139.8667 5.6508744 146.2490 6.6790174
motorcycle 149.4243 109.6471063 149.4053 107.6225951 157.3098 108.2629582 153.6700 98.2224491 140.6922 130.6253452
car 4.0463 2.6426754 4.0626 2.5743222 3.6451 3.3487427 4.1267 2.2922625 4.1170 2.4937846
auto_rickshaw 26.3042 0.0249627 26.1736 0.0248387 28.4549 0.0218106 27.3619 0.0189755 28.0067 0.0255561
truck 0.8430 0.3625425 0.8416 0.3619288 0.8502 0.3656130 0.8343 0.3587929 0.8569 0.3685185
bus 1.1679 1.4746521 1.1722 1.4292328 1.1806 1.3836254 1.1312 1.8337057 1.1839 1.3778704
active_travel 54.4001 70.6973794 58.4805 82.4949467 56.8933 69.6976425 51.2152 69.1009570 58.7563 72.1137630

[1] NA

mexico_city mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 75.5810 502.387887 77.2219 486.626649 77.4025 482.980082 71.6891 500.355194 110.4790 701.195196
cycle 121.7899 32.285115 77.1936 110.702295 125.7731 30.212892 121.4904 28.785893 170.1364 42.140910
car 35.9935 288.203709 36.2825 283.719718 33.9967 317.619463 37.0244 248.863192 42.4118 320.413372
motorcycle 214.8426 102.367438 219.4777 102.081773 222.7809 97.126701 221.8843 88.169300 160.9375 285.269276
other 1396.2134 48.821393 1423.8195 47.863830 1415.7170 46.645823 1390.9716 41.911017 1991.2638 67.121024
truck 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302 2.0243 9.449302
bus 0.9930 11.024186 0.9981 10.744651 1.0041 10.229512 0.9658 12.908362 1.0439 10.886419
active_travel 77.3532 534.673002 77.2166 597.328945 79.1956 513.192973 73.3242 529.141087 112.7197 743.336106

[1] “ub”

mexico_city ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 89.6864 596.14648 93.6229 589.98040 91.6691 572.00166 85.1241 594.12540 130.9911 831.38247
cycle 202.4014 53.65429 132.0005 189.30021 208.5157 50.08912 202.2362 47.91780 275.7941 68.31115
car 42.9944 344.26128 43.7168 341.85356 40.5235 378.59764 44.2551 297.46521 51.3637 388.04266
motorcycle 293.2581 139.73060 305.0524 141.88363 303.3918 132.27098 302.7773 120.31344 220.8089 391.39419
other 2115.9890 73.98979 2188.1688 73.55858 2142.3484 70.58727 2111.7059 63.62728 2941.9252 99.16568
truck 3.9064 18.23497 3.9064 18.23497 3.9064 18.23497 3.9064 18.23497 3.9064 18.23497
bus 2.4306 26.98317 2.4607 26.49072 2.4754 25.22032 2.2985 30.71875 2.8824 30.05925
active_travel 94.0092 649.80077 100.7375 779.28061 96.0007 622.09078 88.9693 642.04320 136.4298 899.69363

[1] “lb”

mexico_city lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 64.2185 426.861104 64.8091 408.405162 65.8625 410.972115 60.8829 424.933604 93.6869 594.618207
cycle 75.5649 20.031388 46.8490 67.185522 78.1827 18.780857 75.2876 17.838626 107.4276 26.608629
car 30.3444 242.971370 30.4461 238.080316 28.7131 268.256661 31.1941 209.674613 35.2665 266.431553
motorcycle 158.9661 75.743612 160.4938 74.647626 165.1452 71.999021 164.2154 65.253648 118.4442 209.947839
other 964.6348 33.730385 973.6740 32.731513 979.0685 32.258889 960.1162 28.929022 1393.3134 46.965458
truck 1.0490 4.896599 1.0490 4.896599 1.0490 4.896599 1.0490 4.896599 1.0490 4.896599
bus 0.4975 5.523495 0.4992 5.374665 0.5021 5.115349 0.4875 6.515138 0.5052 5.268801
active_travel 64.6537 446.892493 61.4796 475.590684 66.3192 429.752972 61.3559 442.772230 94.2030 621.226836

[1] NA

montevideo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 123.4527 18.6166299 122.7142 17.3711660 132.3903 18.2122461 112.8678 18.2715788 127.7199 18.3785932
car 96.8602 13.8778514 96.6407 13.4125351 92.0489 15.7054072 100.3608 11.6902682 102.8428 13.2646705
cycle 589.5159 4.4002943 404.9179 12.8182765 624.7642 4.2529262 573.0744 3.8696846 611.7571 4.2090415
motorcycle 1683.4631 46.0338484 1673.5241 43.8557017 1776.6691 44.6969378 1701.2228 36.9418398 1434.0961 71.5927529
truck 12.0134 1.0154525 12.0134 1.0154525 12.0134 1.0154525 12.0134 1.0154525 12.0134 1.0154525
bus 1.4192 0.3384842 1.4246 0.3271478 1.4379 0.3009097 1.3934 0.3992569 1.4315 0.3133187
active_travel 145.4337 23.0169242 174.2894 30.1894425 155.6061 22.4651724 131.2952 22.1412633 149.8074 22.5876347

[1] “ub”

montevideo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 191.1830 28.830353 189.6964 26.853036 202.7135 27.886258 175.4728 28.406384 201.5211 28.998403
car 163.6035 23.440636 162.8140 22.596560 154.6246 26.382091 169.5064 19.744516 175.2634 22.605487
cycle 1371.7797 10.239307 968.1797 30.649166 1438.9063 9.794995 1341.3725 9.057617 1430.4802 9.842061
motorcycle 2408.0795 65.848290 2389.4102 62.615929 2521.0427 63.423679 2449.5091 53.190783 2050.6828 102.373915
truck 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105 38.1195 3.222105
bus 10.4867 2.501054 10.5264 2.417290 10.6247 2.223417 10.2960 2.950103 10.5771 2.315107
active_travel 246.8638 39.069660 331.9712 57.502202 261.0009 37.681252 222.1573 37.464001 257.6006 38.840465

[1] “lb”

montevideo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 82.4167 12.4284240 81.9919 11.6066006 89.1539 12.2644460 75.1124 12.1595600 83.7498 12.0513899
car 59.0792 8.4646953 59.0329 8.1930372 56.3742 9.6185852 61.2084 7.1297060 62.1502 8.0161300
cycle 265.6070 1.9825573 178.2568 5.6429841 284.0569 1.9336467 256.9235 1.7348760 273.6465 1.8827566
motorcycle 1213.7940 33.1908722 1207.2834 31.6375864 1288.0508 32.4044177 1219.9014 26.4900065 1032.8638 51.5624885
truck 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218 3.7861 0.3200218
bus 0.1921 0.0458093 0.1928 0.0442751 0.1946 0.0407241 0.1886 0.0540341 0.1937 0.0424035
active_travel 91.0566 14.4109813 99.5851 17.2495847 98.3437 14.1980926 82.3924 13.8944361 92.4151 13.9341465

[1] NA

osorno mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 23.1783 5.7270408 22.9724 5.3696284 23.9969 5.5994635 22.0149 5.7345020 22.1648 5.2573115
car 24.7706 7.7887755 24.8335 7.5128334 22.1582 8.2103125 25.5609 6.9716480 24.9417 7.1698625
cycle 12.0119 0.2290816 7.7909 0.5803603 12.6924 0.2145885 12.0190 0.2022379 11.5231 0.2094559
motorcycle 48.6087 1.1454082 49.8768 1.0623443 48.7961 1.0927623 48.2422 1.0829700 75.2644 6.6200923
truck 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714 10.1978 1.6035714
active_travel 22.3781 5.9561224 19.3034 5.9499886 23.2332 5.8140520 21.4084 5.9367400 21.4074 5.4667674

[1] “ub”

osorno ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 45.1556 11.157355 44.8180 10.475872 46.4876 10.847459 43.3964 11.304005 43.3213 10.275437
car 43.5968 13.708436 43.6751 13.212963 38.8753 14.404514 45.2756 12.348745 43.8202 12.596775
cycle 95.4468 1.820289 61.9352 4.613692 100.6759 1.702108 95.8615 1.613013 91.6604 1.666111
motorcycle 184.8284 4.355272 189.7852 4.042302 185.1380 4.146066 184.1012 4.132813 289.7147 25.482667
truck 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948 21.7172 3.414948
active_travel 48.7592 12.977644 48.9548 15.089564 50.1486 12.549567 46.5799 12.917018 46.7620 11.941548

[1] “lb”

osorno lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 12.2007 3.0146415 12.0765 2.8228002 12.7051 2.9646131 11.4497 2.9824410 11.6328 2.7592036
car 14.7127 4.6262226 14.7593 4.4651059 13.1999 4.8909623 15.0949 4.1170669 14.8368 4.2650665
cycle 1.5161 0.0289132 0.9829 0.0732164 1.6048 0.0271327 1.5112 0.0254288 1.4529 0.0264091
motorcycle 12.8949 0.3038536 13.2215 0.2816088 12.9757 0.2905837 12.7460 0.2861308 19.7138 1.7339827
truck 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958 4.7886 0.7529958
active_travel 11.4351 3.0435547 9.3955 2.8960166 11.9551 2.9917458 10.8466 3.0078697 10.9082 2.7856127

[1] NA

puerto_montt mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 42.4175 13.5158163 42.2800 12.6547013 44.0468 13.0232368 39.9867 13.6616246 41.0912 12.5582052
car 11.3746 6.8724490 11.4111 6.6597375 10.4038 7.1677181 11.7537 6.2832051 11.3960 6.4565350
motorcycle 196.4076 0.9163265 197.6672 0.8384616 199.0882 0.9130464 196.5092 0.8056257 105.9926 9.9025494
cycle 79.6979 0.4581633 34.7248 2.9720017 84.9547 0.4186142 76.9577 0.4339837 76.2770 0.4384974
truck 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714 5.5406 1.6035714
bus 0.8942 0.4581633 0.8901 0.4453585 0.9257 0.4206076 0.8442 0.5104985 0.8904 0.4222599
active_travel 43.0782 13.9739796 40.5999 15.6267030 44.7174 13.4418510 40.5870 14.0956082 41.7408 12.9967026

[1] “ub”

puerto_montt ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 71.1946 22.685291 71.1114 21.284149 73.3576 21.689524 67.9618 23.219469 69.2232 21.155867
car 20.1388 12.167700 20.2016 11.790097 18.3560 12.646423 20.8988 11.171898 20.1467 11.414301
motorcycle 865.2334 4.036689 871.6927 3.697533 873.6110 4.006503 869.7327 3.565629 506.4015 47.311479
cycle 345.8007 1.987922 150.7471 12.902047 367.8404 1.812533 335.0048 1.889176 331.1320 1.903595
truck 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948 11.7993 3.414948
bus 6.7241 3.445358 6.6945 3.349381 6.9609 3.162836 6.3473 3.838162 6.6961 3.175589
active_travel 76.0612 24.673212 88.8196 34.186197 78.1849 23.502057 72.2980 25.108645 74.0588 23.059462

[1] “lb”

puerto_montt lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 27.1075 8.6374759 26.9757 8.0740143 28.3268 8.3753334 25.2909 8.6407575 26.2049 8.0087024
car 6.6383 4.0107847 6.6600 3.8869032 6.0894 4.1952941 6.8345 3.6535356 6.6588 3.7726275
motorcycle 49.9916 0.2332324 50.2629 0.2132044 50.8597 0.2332496 49.7828 0.2040937 25.3953 2.3725990
cycle 18.4174 0.1058772 8.0205 0.6864495 19.6720 0.0969336 17.7272 0.0999679 17.6178 0.1012802
truck 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958 2.6017 0.7529958
bus 0.1190 0.0609845 0.1185 0.0592750 0.1232 0.0559867 0.1124 0.0679640 0.1185 0.0562019
active_travel 26.9535 8.7433531 22.7607 8.7604638 28.1849 8.4722670 25.1681 8.7407254 26.0464 8.1099826

[1] NA

san_antonio mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 17.9732 2.7678847 17.8962 2.6311990 16.7947 2.4680320 18.3474 3.0550206 20.6134 3.0886393
car 9.2205 3.3147384 9.2521 3.1833722 7.4022 3.1634924 10.1905 3.0615393 10.8423 3.3890244
cycle 63.1481 0.2634506 24.4782 1.4435062 61.7079 0.2326665 68.0307 0.2552647 72.8606 0.3026410
other 37.8341 0.2525746 37.0087 0.2457139 30.9732 0.0937203 37.5663 0.2171932 51.3514 0.2875214
motorcycle 27.1385 0.2232507 26.9528 0.2078629 27.5623 0.1681970 29.7744 0.2079363 22.5797 1.5266643
truck 5.4150 1.3523323 5.4150 1.3523323 5.4150 1.3523323 5.4150 1.3523323 5.4150 1.3523323
active_travel 19.1647 3.0313353 19.7804 4.0747052 17.9183 2.7006986 19.4424 3.3102853 22.0228 3.3912802

[1] “ub”

san_antonio ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 119.9598 18.473911 119.3115 17.541846 110.6255 16.256712 121.5976 20.247141 158.7968 23.793499
car 55.2554 19.864097 55.3087 19.030030 43.6352 18.648568 60.8241 18.273367 74.5462 23.301294
cycle 912.0607 3.805072 351.4597 20.725981 863.0503 3.254088 971.5925 3.645609 1186.4929 4.928336
other 471.5242 3.147825 461.5169 3.064172 469.3911 1.420307 452.8915 2.618438 692.5892 3.877876
motorcycle 326.3256 2.684467 324.8384 2.505185 326.6584 1.993414 356.4519 2.489361 290.5413 19.644167
truck 27.1725 6.786011 27.1725 6.786011 27.1725 6.786011 27.1725 6.786011 27.1725 6.786011
active_travel 140.8522 22.278982 185.7690 38.267827 129.4480 19.510800 140.3297 23.892750 186.5177 28.721835

[1] “lb”

san_antonio lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3.1471 0.4846564 3.1368 0.4611929 2.9828 0.4383377 3.2212 0.5363627 3.2815 0.4916874
car 1.7107 0.6149919 1.7194 0.5915926 1.3894 0.5937924 1.8938 0.5689499 1.8585 0.5809272
cycle 4.7055 0.0196310 1.8070 0.1065625 4.7340 0.0178491 5.1282 0.0192421 5.0028 0.0207800
other 3.3810 0.0225709 3.3056 0.0219467 2.2290 0.0067448 3.4872 0.0201618 4.3368 0.0242824
motorcycle 2.3240 0.0191180 2.3025 0.0177568 2.3966 0.0146253 2.5593 0.0178732 1.8284 0.1236195
truck 1.1364 0.2838114 1.1364 0.2838114 1.1364 0.2838114 1.1364 0.2838114 1.1364 0.2838114
active_travel 3.1882 0.5042874 2.7561 0.5677554 3.0267 0.4561868 3.2632 0.5556048 3.3279 0.5124674

[1] NA

santiago mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 55.8247 121.276050 55.6451 114.770656 59.2542 119.914637 53.7800 124.916765 56.9155 117.874282
car 26.0109 71.218394 26.1250 69.030972 24.4742 80.647069 27.3167 62.950342 26.6320 68.753428
cycle 116.1543 28.214316 87.7716 55.885272 124.8994 26.695136 118.2547 25.257242 118.9685 27.078461
motorcycle 264.5177 43.004078 262.8207 41.923455 274.1286 42.054737 270.5038 37.056662 203.0836 121.359064
other 163.7739 2.502883 163.0067 2.381088 173.0240 2.435841 164.2508 2.294345 168.5256 2.406343
truck 4.2952 7.508648 4.2604 7.447701 4.3774 7.652287 4.2536 7.435896 4.3238 7.558585
bus 1.1412 5.233301 1.1395 5.125841 1.1777 4.984627 1.0948 5.833617 1.1616 5.027046
active_travel 61.8918 149.490366 63.2233 170.655929 65.5250 146.609773 59.2094 150.174008 63.0599 144.952743

[1] “ub”

santiago ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 67.6505 146.966993 68.0749 140.407534 71.4685 144.633099 65.1658 151.363033 70.1889 145.364170
car 31.7192 86.847749 32.0056 84.569490 29.7717 98.103103 33.3368 76.823547 32.7636 84.582592
cycle 157.6242 38.287521 120.1427 76.496384 168.7135 36.059643 160.4204 34.263143 163.4580 37.204732
motorcycle 344.0606 55.935793 344.0652 54.883040 355.7515 54.576695 351.8056 48.194306 264.4136 158.008743
other 331.5203 5.066475 332.0475 4.850317 349.5271 4.920659 332.2543 4.641111 343.5146 4.904977
truck 7.5695 13.232408 7.5324 13.167576 7.7138 13.484688 7.4883 13.090526 7.6565 13.384586
bus 2.2185 10.173820 2.2185 9.979537 2.3041 9.751601 2.1105 11.245407 2.2724 9.834331
active_travel 76.6989 185.254514 80.3569 216.903918 80.7578 180.692742 73.1872 185.626176 79.4244 182.568903

[1] “lb”

santiago lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 47.0585 102.232074 46.8394 96.608426 50.0893 101.367270 45.3105 105.244440 47.3265 98.015111
car 21.6201 59.196241 21.7055 57.353184 20.3765 67.144253 22.6751 52.254061 21.9938 56.779290
cycle 87.2227 21.186721 65.4416 41.667497 94.1208 20.116724 88.8181 18.970072 88.4051 20.121918
motorcycle 205.7076 33.442996 204.1798 32.569432 213.4565 32.746883 210.3139 28.811176 157.6230 94.192591
other 81.6705 1.248134 81.1894 1.185958 86.3767 1.216015 81.9358 1.144524 83.4928 1.192177
truck 2.4584 4.297523 2.4381 4.262124 2.5041 4.377451 2.4363 4.259041 2.4649 4.308957
bus 0.6065 2.781338 0.6060 2.725762 0.6224 2.634114 0.5859 3.121807 0.6146 2.659746
active_travel 51.0977 123.418795 51.2274 138.275923 54.2954 121.483994 48.9743 124.214512 51.3941 118.137029

[1] NA

sao_paulo mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 165.7016 391.444962 164.6165 370.617587 175.4903 383.747809 154.7378 388.664038 192.9063 433.450233
other 66.1872 1.441407 66.4249 1.331177 69.0131 1.417556 66.1668 1.173612 79.3621 1.450531
car 60.8164 164.732230 60.9674 158.989484 57.6100 189.025226 62.9418 139.372145 65.7630 165.047236
motorcycle 1269.3434 424.391408 1263.8480 411.799023 1328.9681 404.024976 1302.6142 348.372286 1044.4529 900.679266
cycle 591.3154 37.682498 350.3698 193.146720 628.0008 34.912162 584.8816 33.444767 662.6202 40.340836
truck 8.4281 14.619985 8.3786 14.534102 8.5156 14.771655 8.2803 14.363549 8.8919 15.424553
bus 2.7344 9.678019 2.7344 9.339142 2.8694 8.975772 2.5053 11.035938 3.0343 9.915532
active_travel 176.8813 429.127460 201.1529 563.764307 186.7091 418.659971 164.3124 422.108806 205.2974 473.791069

[1] “ub”

sao_paulo ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 179.9464 425.096360 180.1337 405.55317 190.2082 415.931837 168.0988 422.223644 210.4037 472.766103
other 141.5535 3.082714 142.5416 2.85658 147.5558 3.030852 141.4950 2.509722 169.7662 3.102881
car 67.3115 182.325381 67.6848 176.50680 63.6777 208.934005 69.6970 154.330160 73.1308 183.538297
motorcycle 1369.5022 457.878429 1371.6929 446.93808 1432.9535 435.638000 1405.8699 375.987096 1126.2493 971.216003
cycle 731.6735 46.627041 437.7223 241.30112 775.7365 43.125163 724.1050 41.405855 818.9563 49.858703
truck 11.7678 20.413159 11.7147 20.32106 11.9004 20.643291 11.5391 20.016555 12.4853 21.657895
bus 4.1434 14.664811 4.1549 14.19078 4.3509 13.610136 3.7889 16.690460 4.6105 15.066228
active_travel 194.4388 471.723401 230.7997 646.85429 204.7249 459.057000 180.4750 463.629499 226.4574 522.624806

[1] “lb”

sao_paulo lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 153.1004 361.6766457 151.5681 341.2404610 162.4203 355.1674576 142.9140 358.9654650 177.3756 398.5535508
other 30.9644 0.6743341 31.0058 0.6213666 32.2938 0.6633277 30.9569 0.5490887 37.1162 0.6783864
car 55.0631 149.1484330 55.1291 143.7643779 52.2235 171.3514756 56.9565 126.1188056 59.2678 148.7460438
motorcycle 1178.4812 394.0125946 1170.2809 381.3120956 1234.4120 375.2785936 1208.7966 323.2816439 970.0541 836.5217342
cycle 478.9582 30.5223625 281.1449 154.9854051 509.5177 28.3253866 473.4761 27.0743650 537.1848 32.7042322
truck 6.0664 10.5232198 6.0287 10.4577046 6.1239 10.6229093 5.9706 10.3570196 6.3661 11.0429930
bus 1.8068 6.3947532 1.8041 6.1616859 1.8945 5.9262859 1.6584 7.3055374 1.9993 6.5331791
active_travel 161.6598 392.1990082 177.0550 496.2258661 171.0257 383.4928442 150.2720 386.0398300 186.8674 431.2577830

[1] NA

temuco_padrelascasas mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 21.4810 9.1632653 21.1110 8.5080247 22.6724 9.1890462 20.2388 9.0875941 20.6915 8.5269724
car 15.7637 8.0178571 15.7817 7.7545064 14.4714 8.7644219 16.5059 6.7402399 15.8278 7.4246532
cycle 41.0747 2.0617347 22.0003 3.0896940 43.9057 1.9522379 39.6563 1.7454868 40.3528 1.8973626
motorcycle 49.0321 1.8326531 49.6047 1.7399277 50.0005 1.7079457 47.6393 1.6947399 60.1797 8.5517640
truck 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633 1.8414 0.4581633
active_travel 23.5438 11.2250000 21.3408 11.5977188 24.7716 11.1412840 21.9722 10.8330809 22.7051 10.4243349

[1] “ub”

temuco_padrelascasas ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 65.5424 27.958763 64.6134 26.040170 68.5190 27.770468 62.5670 28.093772 63.3403 26.102498
car 52.2317 26.566565 52.2751 25.685852 47.9061 29.013697 54.8276 22.389040 52.4521 24.604774
cycle 131.8570 6.618535 71.8075 10.084538 140.3832 6.242042 128.4003 5.651584 129.1781 6.073866
motorcycle 201.5855 7.534577 203.9851 7.154957 206.7954 7.063830 196.2608 6.981871 259.4380 36.867139
truck 10.8340 2.695672 10.8340 2.695672 10.8340 2.695672 10.8340 2.695672 10.8340 2.695672
active_travel 72.5240 34.577298 66.4725 36.124708 75.6236 34.012510 68.4442 33.745356 70.0829 32.176364

[1] “lb”

temuco_padrelascasas lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 7.7624 3.3112339 7.6058 3.0652648 8.2472 3.3425750 7.2483 3.2546385 7.4680 3.0775632
car 5.0438 2.5654353 5.0487 2.4807299 4.6361 2.8078116 5.2712 2.1524940 5.0624 2.3747076
cycle 13.4436 0.6748007 7.0994 0.9970361 14.4128 0.6408560 12.8870 0.5672274 13.2346 0.6222829
motorcycle 12.4290 0.4645543 12.5726 0.4409936 12.5885 0.4300060 12.0691 0.4293522 14.6815 2.0863006
truck 0.3206 0.0797619 0.3206 0.0797619 0.3206 0.0797619 0.3206 0.0797619 0.3206 0.0797619
active_travel 8.3605 3.9860347 7.4750 4.0623009 8.8568 3.9834310 7.7517 3.8218659 8.0586 3.6998461

[1] NA

valdivia mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 11.0004 2.3948036 11.0595 2.2631110 10.8254 2.1944501 11.1143 2.6300577 10.8331 2.2662004
car 9.2122 3.3322651 9.3067 3.2105610 8.1932 3.4624536 9.3739 2.9133392 9.2157 3.0784470
cycle 29.8623 0.9811944 17.6752 1.7252025 30.0595 0.8954032 30.1863 0.9186798 29.7098 0.9117714
motorcycle 27.0785 0.6971671 27.4569 0.6313930 26.6967 0.6645132 27.1469 0.6804225 34.5797 3.1255875
bus 1.6767 0.4458507 1.6639 0.4234903 1.7065 0.3813619 1.6003 0.5415987 1.6836 0.4042502
active_travel 13.4739 3.3759980 13.1960 3.9883136 13.2896 3.0898533 13.2876 3.5487375 13.2481 3.1779718

[1] “ub”

valdivia ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 57.0366 12.416893 57.1599 11.696637 56.1650 11.385424 57.3182 13.563604 55.9180 11.69761
car 54.6535 19.769387 55.1746 19.033825 48.2881 20.406656 55.6673 17.300960 54.6910 18.26925
cycle 227.8917 7.487906 145.1288 14.165436 229.1622 6.826205 229.5663 6.986553 225.9179 6.93324
motorcycle 252.5419 6.501993 254.4001 5.850124 249.2240 6.203494 250.0589 6.267592 345.8363 31.25946
bus 13.0164 3.461202 12.9728 3.301841 13.1341 2.935234 12.9920 4.396885 13.0862 3.14221
active_travel 79.4419 19.904798 85.5692 25.862074 78.3291 18.211629 76.9466 20.550157 77.6669 18.63085

[1] “lb”

valdivia lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2.2802 0.4963990 2.2998 0.4706056 2.2462 0.4553326 2.3116 0.5470097 2.2547 0.4716763
car 1.7547 0.6347153 1.7744 0.6121283 1.5756 0.6658387 1.7810 0.5535259 1.7562 0.5866647
cycle 4.4742 0.1470087 2.5153 0.2455072 4.5097 0.1343322 4.5309 0.1378919 4.4710 0.1372100
motorcycle 3.5218 0.0906726 3.6076 0.0829604 3.4677 0.0863160 3.5725 0.0895420 4.2238 0.3817775
bus 0.2661 0.0707632 0.2631 0.0669763 0.2727 0.0609398 0.2452 0.0829924 0.2671 0.0641245
active_travel 2.5679 0.6434076 2.3694 0.7161128 2.5362 0.5896648 2.5645 0.6849015 2.5383 0.6088864

[1] NA

accra mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 126.0911 112.437521 125.5534 105.060196 137.1995 113.404213 112.6330 99.525325 134.6884 113.742491
cycle 449.4991 8.195155 248.4104 30.020164 494.1879 8.126056 427.4301 6.271682 484.3127 8.166965
car 103.3258 22.290821 104.5812 21.479464 84.6658 25.537586 106.9955 17.124905 112.8271 22.388541
motorcycle 555.4034 23.110336 547.0936 22.744595 601.5083 21.955051 551.7119 16.492601 415.7370 57.246593
truck 60.4272 4.917093 60.2578 4.903308 60.9586 4.960336 59.4646 4.838761 60.9911 4.962982
bus 14.8685 10.325895 14.8281 10.036140 15.6141 9.940206 13.5670 11.013514 15.6400 9.957306
active_travel 132.5709 120.632676 141.0575 135.080360 144.1627 121.530269 117.7750 105.797007 141.5332 121.909456

[1] “ub”

accra ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 146.5418 130.673807 149.0035 124.682719 158.5548 131.05576 131.3540 116.067696 158.8291 134.128973
cycle 612.2645 11.162653 338.4134 40.896948 671.6003 11.04329 582.9148 8.553109 665.3647 11.220046
car 134.9611 29.115603 138.9843 28.545362 110.3651 33.28920 139.6293 22.348022 148.5544 29.477984
motorcycle 718.4230 29.893580 720.2821 29.944649 774.8126 28.28066 715.7212 21.395411 541.0095 74.496505
truck 99.6801 8.111185 99.4768 8.094645 101.1107 8.22760 97.0370 7.896115 101.2925 8.242393
bus 21.4361 14.887001 21.5643 14.595438 22.5423 14.35085 19.4613 15.798414 22.6777 14.437853
active_travel 155.8730 141.836460 172.9064 165.579667 168.5620 142.09905 138.7299 124.620805 168.7458 145.349019

[1] “lb”

accra lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 110.1818 98.250982 109.3044 91.463458 120.3905 99.510466 98.1309 86.710913 116.0139 97.972061
cycle 330.6642 6.028587 182.7034 22.079531 364.2901 5.990112 314.0743 4.608412 353.3496 5.958534
car 79.7131 17.196769 80.4436 16.521950 65.4214 19.732929 82.5556 13.213223 86.3362 17.131890
motorcycle 433.6617 18.044663 425.6159 17.694342 471.2738 17.201494 429.4226 12.836945 322.6920 44.434394
truck 38.3171 3.117948 38.2450 3.112079 38.5138 3.133954 37.9653 3.089320 38.5137 3.133944
bus 10.3724 7.203449 10.3308 6.992247 10.8737 6.922415 9.5094 7.719590 10.8519 6.908907
active_travel 114.5994 104.279569 118.5671 113.542989 125.1478 105.500579 101.6582 91.319324 120.6603 103.930595

[1] NA

bangalore mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 301.9427 393.57928 301.6620 372.77208 350.8782 442.72132 294.4632 406.35734 296.6523 362.27341
car 150.0298 33.24149 149.2195 32.33756 114.9134 56.31064 155.5880 30.32793 154.5288 28.57603
motorcycle 147.0005 398.89792 146.6818 387.47077 173.0609 438.73062 153.4987 366.31888 136.5357 403.45888
cycle 134.2029 25.26353 98.0517 49.56183 158.6973 27.38381 136.6650 23.47481 134.4922 22.33088
other 1904.6280 15.95592 1904.0112 15.19787 2164.7348 16.76539 1931.3472 14.66413 1905.4894 13.87662
truck 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660 131.6916 13.29660
bus 13.2405 15.95592 13.2658 15.46116 13.9663 15.71304 12.5859 19.96284 13.4891 13.69853
active_travel 280.7750 418.84281 242.5542 422.33391 327.7580 470.10513 276.9960 429.83214 277.2435 384.60429

[1] “ub”

bangalore ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 371.5244 484.27825 374.6662 462.98534 430.3182 542.95486 362.5790 500.35672 364.7144 445.39117
car 269.2350 59.65331 269.1784 58.33403 206.6674 101.27252 278.9863 54.38129 277.0075 51.22522
motorcycle 182.2539 494.56104 183.6091 485.01715 213.5243 541.31030 190.3608 454.28880 169.2592 500.15575
cycle 218.8543 41.19906 159.8716 80.80969 258.5139 44.60754 223.0063 38.30557 219.2870 36.41009
other 4377.9826 36.67631 4398.6062 35.10980 4879.9813 37.79437 4436.7777 33.68710 4388.2848 31.95744
truck 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721 247.8735 25.02721
bus 30.0178 36.17391 30.1076 35.09017 32.2523 36.28587 28.2523 44.81193 30.5965 31.07154
active_travel 352.2583 525.47730 312.3116 543.79503 409.6493 587.56240 347.1293 538.66229 347.3083 481.80126

[1] “lb”

bangalore lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 247.9787 323.237641 247.3940 305.711535 288.5894 364.128309 241.6298 333.447576 243.7139 297.624700
car 84.2363 18.663888 83.6731 18.132918 64.3567 31.536515 87.4094 17.038244 86.8269 16.056343
motorcycle 120.0940 325.885047 119.6506 316.065968 141.7622 359.384601 125.3135 299.056020 111.5301 329.567876
cycle 82.5098 15.532358 60.2899 30.474529 97.6375 16.847709 83.9847 14.425976 82.6981 13.731065
other 902.3051 7.559011 900.4297 7.187256 1037.6991 8.036750 915.1521 6.948471 901.5924 6.565798
truck 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291 69.9659 7.064291
bus 6.1290 7.385980 6.1421 7.158532 6.3697 7.166302 5.8707 9.311704 6.2412 6.338076
active_travel 227.0974 338.769999 193.0779 336.186064 265.6170 380.976017 224.1796 347.873552 224.4420 311.355765

[1] NA

cape_town mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 773.5065 331.988873 782.0957 322.121475 839.8665 334.674302 719.7978 309.819854 790.3281 325.419866
car 340.3576 188.431605 347.5290 187.447199 328.4044 206.687237 357.2409 166.355287 358.5359 187.001715
cycle 2248.8923 7.715949 884.0327 63.492035 2457.7079 7.714745 2114.7016 7.023981 2365.4759 7.097137
motorcycle 4250.9575 47.717055 4366.8573 45.055619 4683.5968 43.421691 4155.3838 39.978451 2521.6279 221.929489
other 842.8863 2.030513 857.6268 1.972113 934.2151 1.807239 792.6242 1.909432 876.4097 1.951326
truck 28.5437 6.294590 28.7292 6.335491 30.0751 6.632304 26.7905 5.907966 29.1464 6.427495
bus 54.4479 20.305130 55.2230 20.138646 59.9549 19.573502 47.0296 22.012412 56.9881 19.755832
active_travel 785.2071 339.704822 797.2318 385.613510 852.5112 342.389047 730.4795 316.843836 801.7227 332.517003

[1] “ub”

cape_town ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 840.9780 360.94763 869.4048 358.081450 909.5665 362.44871 785.2229 337.980537 873.8740 359.820101
car 378.8414 209.73736 395.2676 213.196085 364.6257 229.48377 398.1126 185.387893 404.4883 210.969123
cycle 3142.8907 10.78326 1235.3451 88.723609 3430.0280 10.76686 2958.0509 9.825166 3333.1923 10.000577
motorcycle 5084.4030 57.07249 5342.6575 55.123565 5579.0590 51.72353 4984.4674 47.954965 3042.8276 267.800487
other 1599.5435 3.85330 1647.1856 3.787703 1771.0828 3.42616 1504.8986 3.625301 1671.1797 3.720882
truck 47.0713 10.38039 48.0761 10.601974 49.2341 10.85734 44.5457 9.823436 48.2895 10.649036
bus 72.2510 26.94441 74.7407 27.256364 79.0875 25.81976 62.8675 29.425428 76.3004 26.450757
active_travel 859.2334 371.73088 923.7415 446.805059 929.2659 373.21556 801.8617 347.805703 891.6645 369.820678

[1] “lb”

cape_town lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 714.4764 306.653172 714.6212 294.330795 778.3747 310.1707063 662.7136 285.249326 720.2203 296.552778
car 307.3309 170.147104 310.4956 167.472453 297.1719 187.0304722 322.1475 150.013439 320.2350 167.025113
cycle 1610.3582 5.525139 633.0761 45.468100 1762.0982 5.5312262 1512.9144 5.025145 1681.4761 5.044933
motorcycle 3603.2851 40.446923 3656.4861 37.726272 3982.0901 36.9180129 3513.6795 33.804691 2126.4634 187.150905
other 444.4965 1.070792 448.5796 1.031509 493.1082 0.9539177 417.7946 1.006467 460.0774 1.024362
truck 19.1040 4.212908 19.0255 4.195599 20.1850 4.4512857 17.8861 3.944319 19.3735 4.272328
bus 41.5629 15.499978 41.6626 15.193457 45.9993 15.0174190 35.6764 16.698515 43.1235 14.949470
active_travel 721.5813 312.178311 702.5130 339.798894 786.0632 315.7019324 669.2242 290.274472 727.1740 301.597710

[1] NA

delhi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3094.2514 869.503820 3071.2608 819.077306 3237.1075 871.483409 2882.1732 845.202901 3022.6147 802.275552
cycle 2118.5811 101.678865 1553.4986 163.376648 2304.0135 99.225450 2113.3793 89.202782 2151.0639 89.890486
motorcycle 2987.9869 758.479472 3004.0498 727.544172 3207.9593 745.935634 3032.0134 669.590133 2744.4046 862.006978
car 771.7651 123.734206 778.9827 120.455848 687.0673 142.358348 802.8052 111.495589 781.6358 111.488393
truck 604.7529 49.717974 599.4543 49.282368 618.9958 50.888912 596.5885 49.046762 597.3069 49.105829
bus 41.1931 7.476387 41.2994 7.237916 43.2860 7.180194 36.9933 9.295213 42.1380 6.723061
active_travel 2951.9226 971.182685 2642.0151 982.453953 3108.4263 970.708860 2785.4413 934.405683 2904.0615 892.166038

[1] “ub”

delhi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 3342.1691 939.17024 3317.1600 884.65637 3490.7468 939.76733 3116.2655 913.85094 3269.6886 867.85497
cycle 2449.5103 117.56143 1796.0766 188.88783 2661.8544 114.63635 2444.6463 103.18510 2489.0366 104.01398
motorcycle 3236.0329 821.44420 3253.5577 787.97193 3470.7919 807.05118 3287.1268 725.92940 2973.9639 934.11069
car 915.8681 146.83770 924.2700 142.92195 814.6127 168.78540 953.4198 132.41332 928.3883 132.42038
truck 790.8301 65.01577 783.6159 64.42267 810.0568 66.59644 779.8156 64.11024 780.8341 64.19398
bus 82.1090 14.90248 82.3201 14.42699 86.2788 14.31175 73.7326 18.52660 84.0004 13.40217
active_travel 3211.9499 1056.73166 2886.9750 1073.54420 3376.4358 1054.40368 3031.7605 1017.03604 3163.5000 971.86895

[1] “lb”

delhi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 2871.0351 806.778652 2849.8958 760.04126 3008.1502 809.844257 2671.6742 783.473657 2800.4603 743.310361
cycle 1832.5075 87.949090 1343.7899 141.32224 1994.4301 85.892824 1827.1461 77.121280 1859.1420 77.691407
motorcycle 2759.6862 700.526943 2774.4118 671.92864 2965.8036 689.628006 2797.4438 617.787756 2533.2453 795.682677
car 651.0149 104.374776 657.2158 101.62676 580.0834 120.191601 676.7019 93.982045 658.7836 93.965400
truck 462.9408 38.059314 459.0491 37.73937 473.4912 38.926683 456.8893 37.561809 457.3955 37.603420
bus 20.6661 3.750821 20.7197 3.63122 21.7166 3.602306 18.5604 4.663631 21.1381 3.372566
active_travel 2719.5368 894.727741 2423.9467 901.36350 2868.3500 895.737081 2565.4132 860.594937 2672.4170 821.001768

[1] NA

vizag mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 260.5948 116.631639 257.0656 108.881919 366.1092 156.587457 227.8220 105.231877 286.7962 120.253429
cycle 364.6108 15.924705 225.9411 29.182443 511.0473 21.154623 331.0308 12.385897 403.7742 15.660343
motorcycle 444.5930 117.753097 447.5241 113.355938 604.5735 145.967923 440.4127 89.862289 409.0227 150.084834
other 136.9948 2.018625 137.9126 1.971744 206.4270 2.491687 132.8975 1.579892 136.4260 1.537186
car 391.2613 8.074498 394.3473 7.727964 251.6067 27.576121 377.4074 5.880706 415.9439 7.870325
truck 596.9618 7.177332 594.7043 7.150189 640.3248 7.698689 586.0847 7.046555 604.7627 7.271122
bus 6.6981 3.364374 6.7248 3.224167 6.9593 3.156327 6.4976 4.011435 6.8566 2.932734
active_travel 269.8429 132.556343 249.7924 138.064362 378.8989 177.742080 235.5559 117.617773 296.7005 135.913772

[1] “ub”

vizag ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 309.2536 138.409360 305.0252 129.195551 435.2654 186.166071 270.9959 125.174028 339.4335 142.324183
cycle 486.4520 21.246227 301.3969 38.928265 683.8560 28.307980 441.9235 16.535076 538.1930 20.873763
motorcycle 521.5269 138.129480 524.8080 132.931598 712.7911 172.095922 516.7253 105.433192 479.3681 175.897008
other 286.1971 4.217129 288.0949 4.118907 431.6589 5.210361 277.6543 3.300769 284.9615 3.210817
car 656.5570 13.549432 661.5689 12.964666 419.7886 46.008873 633.2731 9.867566 699.5582 13.236761
truck 1011.7001 12.163772 1004.9384 12.082475 1141.7253 13.727078 979.2401 11.773502 1034.9109 12.442837
bus 15.1414 7.605404 15.1723 7.274259 17.0039 7.711990 14.2678 8.808556 15.8296 6.770730
active_travel 325.0084 159.655587 304.1773 168.123816 457.2017 214.474051 283.8042 141.709104 356.2620 163.197946

[1] “lb”

vizag lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 222.0787 99.3934050 219.1270 92.8127527 310.4248 132.770852 193.9410 89.5821087 244.8198 102.6527483
cycle 273.3274 11.9378187 169.4008 21.8797256 381.9537 15.810838 248.0080 9.2795038 302.9659 11.7505036
motorcycle 379.1976 100.4327391 381.8093 96.7106605 513.0137 123.861753 375.5771 76.6331699 349.1626 128.1200288
other 65.5774 0.9662861 66.0213 0.9439097 98.7192 1.191595 63.6125 0.7562288 65.3158 0.7359488
car 233.7232 4.8233685 235.6241 4.6174898 151.1456 16.565573 225.4646 3.5131548 247.9106 4.6908658
truck 371.0379 4.4610263 370.2842 4.4519639 385.4993 4.634897 367.3932 4.4172047 373.6596 4.4925471
bus 3.5436 1.7798978 3.5596 1.7066168 3.6016 1.633492 3.4640 2.1385898 3.6066 1.5426390
active_travel 226.6352 111.3312237 207.5069 114.6924783 316.7367 148.581690 197.9925 98.8616125 249.7429 114.4032519

[1] NA

kisumu mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 55.7689 14.9479620 55.4418 14.0650000 64.5672 16.3371460 54.7342 14.5421738 53.3396 13.3901600
cycle 54.9226 1.5734697 41.7996 2.7741536 64.2107 1.6890972 54.6481 1.4836250 53.0340 1.3859909
car 52.3368 1.9668371 52.4570 1.8708332 44.9385 3.1433290 57.1950 1.5991158 54.7028 1.5781550
motorcycle 240.8508 29.8959240 240.1873 28.2118567 281.7505 30.3993710 252.5085 24.5313742 212.7471 33.0440778
other 872.1425 2.7535720 857.0449 2.7059050 1207.9779 1.5431918 966.0764 1.8159822 1042.3633 1.2365035
truck 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674 27.8103 0.3933674
bus 74.1398 7.4739810 74.1278 7.0655719 88.1343 7.5272325 64.5099 9.0193134 75.7566 5.9903494
active_travel 55.6872 16.5214317 52.6129 16.8391536 64.5337 18.0262432 54.7262 16.0257989 53.3108 14.7761509

[1] “ub”

kisumu ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 90.2092 24.179136 89.3703 22.672318 103.2000 26.112211 88.2414 23.444608 86.8670 21.806750
cycle 160.0954 4.586549 121.6272 8.072151 185.8876 4.889876 158.9694 4.315812 155.2020 4.056048
car 199.3294 7.490879 199.6425 7.120082 174.5601 12.210016 214.4203 5.994979 207.7403 5.993226
motorcycle 344.5805 42.771502 342.6140 40.242663 402.5123 43.428930 362.6217 35.228943 302.2129 46.939990
other 2020.1818 6.378219 1981.1146 6.254874 2779.4703 3.550773 2233.2259 4.197906 2422.1763 2.873307
truck 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586 205.4899 2.906586
bus 153.9408 15.518671 153.6766 14.647852 178.1452 15.214729 135.3978 18.930351 158.0852 12.500369
active_travel 96.9577 28.765685 96.0592 30.744469 110.9870 31.002087 94.7986 27.760421 93.3102 25.862798

[1] “lb”

kisumu lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 35.8453 9.6077603 35.7156 9.0606710 41.6961 10.5501633 35.2074 9.3541602 34.1852 8.5817081
cycle 19.1316 0.5480992 14.5779 0.9675061 22.4582 0.5907754 19.0564 0.5173571 18.4212 0.4814190
car 16.0861 0.6045224 16.1378 0.5755424 13.6680 0.9560430 17.7446 0.4961222 16.8258 0.4854167
motorcycle 173.6857 21.5589615 173.5067 20.3797098 202.4626 21.8446353 181.4449 17.6274972 154.4297 23.9861576
other 384.7574 1.2147752 378.5949 1.1953187 534.6117 0.6829664 426.5847 0.8018725 458.9709 0.5444542
truck 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370 3.7638 0.0532370
bus 41.4031 4.1738200 41.4513 3.9509796 49.5428 4.2312714 36.0553 5.0410017 42.1493 3.3328960
active_travel 34.2314 10.1558594 31.3324 10.0281771 39.8844 11.1409387 33.7101 9.8715173 32.6988 9.0631271

[1] NA

nairobi mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 186.6929 449.422279 187.9356 426.879512 197.8179 449.128993 181.1382 426.575584 185.3143 420.495915
car 74.6452 68.839299 74.6315 67.717436 69.7764 77.917937 78.7279 60.400944 75.3161 65.267686
cycle 106.4898 9.834186 71.9810 23.585706 113.4054 9.764190 107.6698 8.496937 106.2003 9.147320
motorcycle 379.8130 158.330387 378.7908 154.936563 403.0112 153.877864 384.7457 133.440444 335.2941 208.682041
other 579.0037 8.850767 576.8551 8.678959 615.2180 8.494899 580.9987 7.591910 568.4279 8.635159
truck 13.1925 4.917093 13.1925 4.917093 13.1927 4.916529 13.1925 4.917093 13.1925 4.917093
bus 13.3790 33.436231 13.4146 32.663195 14.2509 33.263574 12.4324 34.198235 13.4426 31.527419
active_travel 183.7298 459.256464 173.3172 450.465218 194.7337 458.893182 178.7561 435.072521 182.4211 429.643234

[1] “ub”

nairobi ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 220.9249 531.82836 225.1195 511.33941 233.3367 529.77157 214.0847 504.16357 220.1664 499.57851
car 107.9594 99.56232 109.2410 99.12059 100.9134 112.68796 113.4262 87.02193 109.1150 94.55717
cycle 203.9329 18.83293 137.8329 45.16314 216.9489 18.67927 206.1105 16.26555 203.7158 17.54659
motorcycle 482.4430 201.11315 487.2290 199.29096 510.1167 194.77292 488.6323 169.47118 426.4847 265.43770
other 1154.4552 17.64723 1159.3226 17.44236 1224.7718 16.91159 1157.5294 15.12544 1134.5810 17.23576
truck 32.2681 12.02689 32.2681 12.02689 32.2685 12.02551 32.2681 12.02689 32.2681 12.02689
bus 22.1080 55.25121 22.3765 54.48439 23.4026 54.62468 20.6280 56.74194 22.2479 52.17874
active_travel 220.2972 550.66129 214.1153 556.50255 232.7379 548.45083 213.8261 520.42912 219.5648 517.12510

[1] “lb”

nairobi lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
pedestrian 159.6551 384.334659 160.4195 364.378869 169.5038 384.844254 154.9585 364.922921 157.9742 358.458527
car 52.4052 48.329147 52.2740 47.431147 48.9638 54.676824 55.4234 42.521502 52.7735 45.732597
cycle 55.7055 5.144323 37.6565 12.338735 59.3728 5.111988 56.3404 4.446194 55.4700 4.777785
motorcycle 307.7759 128.300704 306.2955 125.283867 327.1040 124.894961 311.6592 108.092021 271.5761 169.024942
other 292.1494 4.465854 290.5212 4.370978 310.7256 4.290484 293.2735 3.832205 286.4828 4.352046
truck 5.3937 2.010313 5.3937 2.010313 5.3937 2.010082 5.3937 2.010313 5.3937 2.010313
bus 8.2909 20.720318 8.2958 20.199333 8.8753 20.716045 7.6750 21.111817 8.3148 19.500981
active_travel 155.8147 389.478982 144.9427 376.717604 165.4799 389.956241 151.7608 369.369115 154.2255 363.236312

[1] NA

port_louis mean
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 967.0854 19.9961773 964.8122 18.6959779 1060.2538 17.495752 987.9128 16.431953 872.4698 25.4488205
pedestrian 330.7639 14.4234721 321.7751 13.3185927 342.5707 14.306885 300.1548 13.716474 355.6413 14.2582304
cycle 2177.2100 2.6224495 1499.8217 16.1684445 2208.1551 2.538826 2110.3865 2.541961 2528.6782 1.7074899
truck 283.1557 1.6390309 278.8296 1.6139892 285.6881 1.653690 273.9233 1.585590 288.3461 1.6690753
bus 37.0198 0.9834186 36.3917 0.9086892 40.4671 0.915474 29.7569 1.045900 42.5432 0.8824707
active_travel 380.3955 17.0459216 565.1971 29.4870372 392.5545 16.845711 346.6432 16.258435 391.6349 15.9657203

[1] “ub”

port_louis ub
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 1665.1620 34.430126 1662.0066 32.206102 1824.1627 30.101376 1707.6369 28.403125 1498.6672 43.714191
pedestrian 590.6472 25.756087 575.5327 23.821874 610.2209 25.484838 540.0547 24.679420 632.2619 25.348391
cycle 6365.9232 7.667755 4252.2145 45.839912 6444.6681 7.409757 6140.2447 7.395925 7675.3110 5.182754
truck 1067.5313 6.179345 1048.4863 6.069104 1078.4808 6.242725 1027.5858 5.948123 1089.8009 6.308251
bus 129.9274 3.451483 127.8525 3.192432 141.9571 3.211454 104.9281 3.688030 148.8473 3.087531
active_travel 745.8839 33.423842 1335.2525 69.661786 766.5406 32.894595 683.8728 32.075345 748.9209 30.531145

[1] “lb”

port_louis lb
stage_mode bl bl_count bi_sc bi_sc_count car_sc car_sc_count bus_sc bus_sc_count mc_sc mc_sc_count
motorcycle 569.1860 11.7689127 567.6767 11.0003494 624.1605 10.2995689 579.3005 9.6355052 514.9553 15.0205813
pedestrian 186.8472 8.1477603 181.5215 7.5133574 194.0162 8.1027558 168.3134 7.6915840 201.7350 8.0878790
cycle 763.7657 0.9199558 540.7091 5.8289768 776.1898 0.8924242 743.9811 0.8961252 852.8578 0.5758922
truck 76.6464 0.4436635 75.6636 0.4379742 77.2326 0.4470566 74.5128 0.4313132 77.8550 0.4506596
bus 10.5802 0.2810606 10.3910 0.2594591 11.5698 0.2617408 8.4676 0.2976222 12.1947 0.2529531
active_travel 202.3545 9.0677160 255.7412 13.3423343 209.6141 8.9951800 183.0970 8.5877092 212.5200 8.6637712

Change in deaths due to injury per 100 million hours across cities

Write all injury tables in a single excel sheet